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Paper Citation Record · LEDGER

Revealing the structure of language model capabilities

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2306.10062.

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

pith.paper-citation-record.v1
2306.10062 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T09:03:27.212524Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T10:49:46.941557Z

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 6ae000fc-1541-4f2d-aecd-8758ba7640a1 · inbound

From Human-Level AI Tales to AI Leveling Human Scales cites this paper.

From Human-Level AI Tales to AI Leveling Human Scales Revealing the structure of language model capabilities

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-15T20:10:18.100417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T20:08:29.604466Z digest=sha256:9949b63037c54e5e2664b846b9928d05e7867cdf0a7bcda967a2d8eae2b4c23d

Observation 0b598f78-1ffb-4e76-adb7-2b07ddcf6e06 · inbound

Growing Pains: Extensible and Efficient LLM Benchmarking Via Fixed Parameter Calibration cites this paper.

Growing Pains: Extensible and Efficient LLM Benchmarking Via Fixed Parameter Calibration Revealing the structure of language model capabilities

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T08:30:56.713555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T16:37:12.962958Z digest=sha256:82ba34daf8a8bfaaaba98ffa075db62c3cb459be5c6424285bbf9f1c852726a2

Observation ad9f171b-504f-496e-8ad0-3344efb95475 · inbound

LLMs Show No Signs Of Individuated Metacognition cites this paper.

LLMs Show No Signs Of Individuated Metacognition Revealing the structure of language model capabilities

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-06-30T15:24:49.969417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-30T15:20:38.799207Z digest=sha256:931e7577dc4ca4b818b81c68068ad52de63447a3ee47d88a21f573502237d749

Observation 90b96716-7ba7-4398-9a27-553fd90a9efa · inbound

Predicting Inference-Time Scaling Gains from Labeled Validation-Set Output Statistics cites this paper.

Predicting Inference-Time Scaling Gains from Labeled Validation-Set Output Statistics Revealing the structure of language model capabilities

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-07-02T02:16:26.633610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-28T11:06:15.364142Z digest=sha256:0a78f289cca5d2c7f5972b743f6eb65fe3b00240eb14a37f1bf8299a858ef95d

Observation 92482c6d-513c-4612-bdb5-abc48569bebc · inbound

The Evaluation Blind Spot: A Stereological Theory of Benchmark Coverage for Large Language Models cites this paper.

The Evaluation Blind Spot: A Stereological Theory of Benchmark Coverage for Large Language Models Revealing the structure of language model capabilities

Reference 4

Resolution
unresolved
no resolver link, observed 2026-07-12T20:43:46.574417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T20:43:46.574417Z digest=sha256:0c93b9442481540a925a1cbb0691508e24a65d15eb9825f04bce9d9cce047e18

Observation 8d448ad4-1918-4849-b6cd-0cf20a6930a9 · inbound

You Don't Need to Run Every Eval cites this paper.

You Don't Need to Run Every Eval Revealing the structure of language model capabilities

Reference 25

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T10:49:46.943342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-26T08:23:12.145516Z digest=sha256:2f58ed6ce61a536e6c69276b0d561086c4cbd4bffc296644258b30feadf2b17a

Observation 1edf4748-e95f-4bad-a02e-e0bd3706a49c · inbound

Will Scaling Improve Social Simulation with LLMs? cites this paper.

Will Scaling Improve Social Simulation with LLMs? Revealing the structure of language model capabilities

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T14:28:31.166763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-03T14:22:29.928733Z digest=sha256:f0508280261c6b64bed2f9ff9fd1de0f709929b25881af18967cbb80f648067c

Observation 3318e887-875e-42da-ae48-e13abf83c65b · inbound

Will Scaling Improve Social Simulation with LLMs? cites this paper.

Will Scaling Improve Social Simulation with LLMs? Revealing the structure of language model capabilities

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-02T09:03:27.212524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T09:03:27.212524Z digest=sha256:14acb167ddd843f5542faecac0540d2d8d48fec346a921d7e4f6e0fced922059

Observation 6bb2dbd8-f9e2-4a0e-9798-f80be268716b · inbound

CogArena: A Multimethod Evaluation of Cognitive Ability Structure in Large Language Models cites this paper.

CogArena: A Multimethod Evaluation of Cognitive Ability Structure in Large Language Models Revealing the structure of language model capabilities

Reference 6

Resolution
unresolved
no resolver link, observed 2026-07-31T04:03:40.806433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T04:03:40.806433Z digest=sha256:3cc00d2c20e32223025b94cefccb68eaebe29b05794c4b615f2d929eafa6e390