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Paper Citation Record · LEDGER

Conceptual and Unbiased Reasoning in Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2404.00205.

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

pith.paper-citation-record.v1
2404.00205 v1

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 2026-08-09T06:31:02.800959+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T17:02:51.880563Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T16:52:43.914374Z

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 79519b30-4687-4147-9d73-a713347c653c · inbound

Self-supervised Analogical Learning using Language Models cites this paper.

Self-supervised Analogical Learning using Language Models Conceptual and Unbiased Reasoning in Language Models

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-09T17:02:51.880563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T17:02:51.880563Z digest=sha256:778601eada680e2548089adb15bc10afac0771a5198483bda4623cc8bcfad781

Observation eb95727f-e3da-4d96-b694-b7899833a510 · inbound

One Example Shown, Many Concepts Known! Counterexample-Driven Conceptual Reasoning in Mathematical LLMs cites this paper.

One Example Shown, Many Concepts Known! Counterexample-Driven Conceptual Reasoning in Mathematical LLMs Conceptual and Unbiased Reasoning in Language Models

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-08T11:01:03.532477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T11:01:03.532477Z digest=sha256:68f8a1a5fbc95df5a31b1c0abc8101efcb42dd8ee9a4262bbac3df82d2fc13a3

Observation ae97b6c0-9e0d-440e-82c5-6ab5514db8fe · inbound

AUTOCT: Automating Interpretable Clinical Trial Prediction with LLM Agents cites this paper.

AUTOCT: Automating Interpretable Clinical Trial Prediction with LLM Agents Conceptual and Unbiased Reasoning in Language Models

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T11:00:58.167349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:00:58.167349Z digest=sha256:13ce93e38c123f5198560dcd8e40eed8bccb2ee4456b25531b2ac8ac1535a3d8

Observation d20062c8-6d23-45b5-bec7-26cf3738d76e · inbound

RECAP: Transparent Inference-Time Emotion Alignment for Medical Dialogue Systems cites this paper.

RECAP: Transparent Inference-Time Emotion Alignment for Medical Dialogue Systems Conceptual and Unbiased Reasoning in Language Models

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-05-18T16:52:43.917708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-18T16:52:22.768827Z digest=sha256:defb46308e9e8b7e20cb357b5c82577c4ee0c2fc5f62713b18f731f4c882aa7f

Observation d4f0938f-1fb4-4e7a-9fa6-0f331bf88c00 · inbound

CORE: Concept-Oriented Reinforcement for Bridging the Definition-Application Gap in Mathematical Reasoning cites this paper.

CORE: Concept-Oriented Reinforcement for Bridging the Definition-Application Gap in Mathematical Reasoning Conceptual and Unbiased Reasoning in Language Models

Reference 24

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T20:28:24.145054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-16T20:25:35.573805Z digest=sha256:c17cad81589df9795e503f0e087fae3c602194c583f917352ee8a75570cabc48