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Paper Citation Record · LEDGER

Densing Law of LLMs

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2412.04315.

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

pith.paper-citation-record.v1
2412.04315 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, observed 2026-08-11T06:34:44.6726+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T22:01:12.450093Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T05:26:05.711057Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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 e0bbb01a-c49d-4979-80ab-0756b7d0bca7 · inbound

Language Games as the Pathway to Artificial Superhuman Intelligence cites this paper.

Language Games as the Pathway to Artificial Superhuman Intelligence Densing Law of LLMs

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-09T22:01:12.450093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:01:12.450093Z digest=sha256:31cdbe8621aa9f9d172eefdbbf67b1cd0974ad6343917ce528e0020c2a8d9ec7

Observation c0a3e955-ccce-438d-8ef1-b83837d38bb2 · inbound

Seed1.5-VL Technical Report cites this paper.

Seed1.5-VL Technical Report Densing Law of LLMs

Reference 152

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:26:05.714751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-11T05:26:04.960844Z digest=sha256:2b9bfeb9d652aab80fcd227016030babd52025c2b259ef050778f3b9092af504

Observation 9902f502-2188-40e4-ad7d-855b05649d8e · inbound

Think Before You Accept: Semantic Reflective Verification for Faster Speculative Decoding cites this paper.

Think Before You Accept: Semantic Reflective Verification for Faster Speculative Decoding Densing Law of LLMs

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T14:32:42.812379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:32:42.812379Z digest=sha256:54a4ca8bca38060f281e451596b41d0bff6eadd7d09ca7d16388ac2b158e6b23

Observation 9db46184-a4d4-4d3b-b225-9c60b5f86560 · inbound

MiniCPM4: Ultra-Efficient LLMs on End Devices cites this paper.

MiniCPM4: Ultra-Efficient LLMs on End Devices Densing Law of LLMs

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T05:31:21.920986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:31:21.920986Z digest=sha256:ea3dcbd07f1a9260fc85447d6cb43c3ad4c8052be4290c3c91b29f613abdb371

Observation 7786d76e-84fb-4402-a578-d68742c0b14c · inbound

A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search cites this paper.

A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Densing Law of LLMs

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-07T05:07:39.739462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:07:39.739462Z digest=sha256:69c1109f813dea8d5fc7a8da3de2b9171e2f98284d3e28bbc55b74144d403724

Observation 038897af-0a81-4a76-a9b9-303ed4d95674 · inbound

Know What, Know Why: Semantic Hazard Communication for Intelligent V2X Systems cites this paper.

Know What, Know Why: Semantic Hazard Communication for Intelligent V2X Systems Densing Law of LLMs

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-05T11:39:07.798950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:39:07.798950Z digest=sha256:01731a4f052497f8c1bd967be85d782cd771d7039c05abf983d9b2370582581c