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Paper Citation Record · LEDGER

Patterns Over Principles: The Fragility of Inductive Reasoning in LLMs under Noisy Observations

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2502.16169.

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

pith.paper-citation-record.v1
2502.16169 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 2026-08-20T06:33:59.587034+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T17:25:59.375227Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T23:33:58.604423Z

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 be24ccea-78d6-4c93-8748-4256394f8a80 · inbound

KnowShiftQA: How Robust are RAG Systems when Textbook Knowledge Shifts in K-12 Education? cites this paper.

KnowShiftQA: How Robust are RAG Systems when Textbook Knowledge Shifts in K-12 Education? Patterns Over Principles: The Fragility of Inductive Reasoning in LLMs under Noisy Observations

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-11T17:25:59.375227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T17:25:59.375227Z digest=sha256:07f3aa055f9a7383c802a4f29a3f6c35d8df827847be236947b69a6cbe0380a6

Observation 60e364ea-b6b7-4104-ab77-f89982793f21 · inbound

ConKE: Conceptualization-Augmented Knowledge Editing in Large Language Models for Commonsense Reasoning cites this paper.

ConKE: Conceptualization-Augmented Knowledge Editing in Large Language Models for Commonsense Reasoning Patterns Over Principles: The Fragility of Inductive Reasoning in LLMs under Noisy Observations

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-11T15:01:29.742142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:01:29.742142Z digest=sha256:5b1a6cd2acc3868915444fd8868c34ae549a2c25bcbe1b2c54c6eed5b5ebd659

Observation c440deb8-e179-48d2-ad33-4845772bf15e · inbound

Enhancing Transformers for Generalizable First-Order Logical Entailment cites this paper.

Enhancing Transformers for Generalizable First-Order Logical Entailment Patterns Over Principles: The Fragility of Inductive Reasoning in LLMs under Noisy Observations

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-10T22:48:53.532307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:48:53.532307Z digest=sha256:afc655aed4ceffcf0cc820c913129e4dbc05c8be60a28b35de8136629e2d2a23

Observation 244854ad-70ea-40b3-99b1-09514fb12298 · inbound

Answer-Centric or Reasoning-Driven? Uncovering the Latent Memory Anchor in LLMs cites this paper.

Answer-Centric or Reasoning-Driven? Uncovering the Latent Memory Anchor in LLMs Patterns Over Principles: The Fragility of Inductive Reasoning in LLMs under Noisy Observations

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-08-06T23:33:58.723701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-06T23:33:55.077830Z digest=sha256:ed910b39d1c8367bb6473d514909ffb226087618b00db47d316fdb3f4f9eec20

Observation 836c821c-f821-450c-94e5-d4873b859b5c · inbound

Chain-of-Models: Cross-Model Auditing for Bias-Robust LLM Judges cites this paper.

Chain-of-Models: Cross-Model Auditing for Bias-Robust LLM Judges Patterns Over Principles: The Fragility of Inductive Reasoning in LLMs under Noisy Observations

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-03T00:55:20.861298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T00:55:20.861298Z digest=sha256:28f63f3639974468f54d834bf49c7ed0576a1452e5c4577b7672625024c60d04