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Paper Citation Record · LEDGER

Lyman-alpha constraints on warm and on warm-plus-cold dark matter models

As of 13 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:0812.0010.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
0812.0010 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T21:28:02.219269Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-07-03T16:28:38.655938Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation e81ee939-b522-4344-807d-3f95f884caa9 · inbound

String Axiverse cites this paper.

String Axiverse Lyman-alpha constraints on warm and on warm-plus-cold dark matter models

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-05-13T22:38:38.677786Z

Source-reported events for the cited work

Unavailable: named source frontier unavailable.

source=pdf_text observed=2026-05-13T22:38:38.367037Z digest=sha256:bafd0b1752c20004ae0277b76a966bb75d3bf395c0bd09bb8cba1a82484b62ce

Observation 36528808-a20b-447d-9799-dc92e3282ea2 · inbound

Early Growth of Structure in Warm Wave Dark Matter cites this paper.

Early Growth of Structure in Warm Wave Dark Matter Lyman-alpha constraints on warm and on warm-plus-cold dark matter models

Reference 52

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verified exact
local_arxiv, observed 2026-05-19T09:23:02.877639Z

Source-reported events for the cited work

Unavailable: named source frontier unavailable.

source=pdf_text observed=2026-05-19T09:22:41.197004Z digest=sha256:d0e6804bf52a3a57e697540cdbb34fcae3deda7058dbe1ca4d58cd1c149a06e4

Observation 35e04800-4ed9-4b5b-9b24-186ba5ae7b25 · inbound

Analytic compression of the effective field theory of the Lyman-alpha forest cites this paper.

Analytic compression of the effective field theory of the Lyman-alpha forest Lyman-alpha constraints on warm and on warm-plus-cold dark matter models

Reference 14

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verified exact
arxiv_id, observed 2026-05-11T08:01:01.065287Z

Source-reported events for the cited work

Unavailable: named source frontier unavailable.

source=pdf_text observed=2026-05-10T16:51:14.158271Z digest=sha256:bdf99cfe7739d6a08eeab38b1963a6e6fc5a3ddbef1b8d999c493846880cd700

Observation 6f861ad2-7cd3-4978-9078-32c2ce5c6f73 · inbound

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest cites this paper.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest Lyman-alpha constraints on warm and on warm-plus-cold dark matter models

Reference 103

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verified exact
local_arxiv, observed 2026-05-22T04:04:36.055608Z

Source-reported events for the cited work

Unavailable: named source frontier unavailable.

source=pdf_text observed=2026-05-22T04:03:53.162706Z digest=sha256:6e198c90dc8be45c7f6b45df13e3585569ba40362faa4ad6466a701b34afe031

Observation 09563468-0615-4db5-91c4-01b23b437607 · inbound

Flavor phenomenology of light dark particles cites this paper.

Flavor phenomenology of light dark particles Lyman-alpha constraints on warm and on warm-plus-cold dark matter models

Reference 154

Resolution
verified exact
local_arxiv, observed 2026-07-02T19:37:18.781622Z

Source-reported events for the cited work

Unavailable: named source frontier unavailable.

source=pdf_text observed=2026-06-27T21:28:02.219269Z digest=sha256:ce32e33036edb878df0818c3a1d7289bf9d33b80e585de63aae62ab63c897b0b

Observation 56ccb2a7-bead-4962-9721-5b2a32ad5e90 · inbound

Machine Learning Does It and Does It Better: Unearthing Primordial Dark-Matter Velocities from the Matter Power Spectrum cites this paper.

Machine Learning Does It and Does It Better: Unearthing Primordial Dark-Matter Velocities from the Matter Power Spectrum Lyman-alpha constraints on warm and on warm-plus-cold dark matter models

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-07-03T16:28:38.657136Z

Source-reported events for the cited work

Unavailable: named source frontier unavailable.

source=pdf_text observed=2026-06-27T05:48:47.779139Z digest=sha256:1d746315b5b6448aff2f461d23d7592187461d56b72b4c779a3399137bfb527d