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Paper Citation Record · LEDGER

AR-LSAT: Investigating Analytical Reasoning of Text

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2104.06598.

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

pith.paper-citation-record.v1
2104.06598 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-13T13:23:25.998584Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T16:58:43.238141Z

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 bde502e0-d0fd-43f2-b3b8-df72fd2e8827 · inbound

LAQuant: A Simple Overhead-free Large Reasoning Model Quantization by Layer-wise Lookahead Loss cites this paper.

LAQuant: A Simple Overhead-free Large Reasoning Model Quantization by Layer-wise Lookahead Loss AR-LSAT: Investigating Analytical Reasoning of Text

Reference 62

Resolution
malformed identifier
arxiv_id, observed 2026-05-12T07:16:29.996229Z

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=2026-05-12T03:32:14.749400Z digest=sha256:ced4f825fbf6c2219139c5349e7ba04884971566f558985fdddd6ce0fc258109

Observation de24ed61-024e-45bf-b294-624b5215f3ca · inbound

Confidence Calibration in Large Language Models cites this paper.

Confidence Calibration in Large Language Models AR-LSAT: Investigating Analytical Reasoning of Text

Reference 25

Resolution
unresolved
no resolver link, observed 2026-07-13T13:23:25.998584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T13:23:25.998584Z digest=sha256:add0ceb0a1eabeb6f28e689fac266f34c111f2be9f2ae686c0ca6b428bb88be8

Observation edaa1369-fde8-4104-b2a8-7cf601166fee · inbound

How Language Models Fail: Token-Level Signatures of Committed and Persistent Reasoning Failures cites this paper.

How Language Models Fail: Token-Level Signatures of Committed and Persistent Reasoning Failures AR-LSAT: Investigating Analytical Reasoning of Text

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T12:56:57.514463Z

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=2026-06-28T01:40:35.630946Z digest=sha256:e58a3cc08694462f9055bc437713000650cb8f295d826b38dc6bb70b8cf2df1c

Observation 41c2e4fb-047a-40e9-815b-afbd3a70e8a0 · inbound

More Yap Less Meaning: Uncovering Self-Improvement Behavior in SLMs cites this paper.

More Yap Less Meaning: Uncovering Self-Improvement Behavior in SLMs AR-LSAT: Investigating Analytical Reasoning of Text

Reference 35

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T22:37:26.054912Z

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=2026-06-27T18:46:26.180422Z digest=sha256:7e0f9a7752f86546cc61c5b07d79e4b473ef0e7d8c6077cadac2298d9acfcba2

Observation d4139f2e-37eb-4f6b-ac04-b502d448905a · inbound

Every Eval Ever: A Unifying Schema and Community Repository for AI Evaluation Results cites this paper.

Every Eval Ever: A Unifying Schema and Community Repository for AI Evaluation Results AR-LSAT: Investigating Analytical Reasoning of Text

Reference 107

Resolution
verified exact
arxiv_id, observed 2026-07-03T16:58:43.239918Z

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=2026-06-27T04:45:20.445703Z digest=sha256:5df5c2a26a589af2ed2499f98f0981fc2edfebf75bd7375acc63633ff52b226e