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Paper Citation Record · LEDGER

Testing the General Deductive Reasoning Capacity of Large Language Models Using OOD Examples

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2305.15269.

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

pith.paper-citation-record.v1
2305.15269 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:06:47.703788Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T05:45:56.258541Z

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 f2e724f4-033e-41a1-a7e7-4aed7b9885cd · inbound

Do Large Language Models Perform Latent Multi-Hop Reasoning without Exploiting Shortcuts? cites this paper.

Do Large Language Models Perform Latent Multi-Hop Reasoning without Exploiting Shortcuts? Testing the General Deductive Reasoning Capacity of Large Language Models Using OOD Examples

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-12T12:53:38.908997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:53:38.908997Z digest=sha256:dc95e2ba4fd4f2fb08ae1ed8c04fe7a16cee0c9249c9c3842253fb22bf6c979c

Observation aad7382f-f1d4-484c-b386-df6696e346a1 · inbound

Improve Rule Retrieval and Reasoning with Self-Induction and Relevance ReEstimate cites this paper.

Improve Rule Retrieval and Reasoning with Self-Induction and Relevance ReEstimate Testing the General Deductive Reasoning Capacity of Large Language Models Using OOD Examples

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-15T21:06:47.703788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:06:47.703788Z digest=sha256:c9c324b7bfe3fa57b18f0f2512f20f6a778446bac2501fc2e472ec57320a0060

Observation 7faec94e-7be6-41a1-ad75-baab8c42ed0d · inbound

CoTGuard: Using Chain-of-Thought Triggering for Copyright Protection in Multi-Agent LLM Systems cites this paper.

CoTGuard: Using Chain-of-Thought Triggering for Copyright Protection in Multi-Agent LLM Systems Testing the General Deductive Reasoning Capacity of Large Language Models Using OOD Examples

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T14:18:17.147160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:18:17.147160Z digest=sha256:35873732f9f05d9c33eae52587ae042227ccdebc19ae88d4cf273a4c405ade52

Observation 0502fd3f-52fc-4f8e-bd7e-175aa1113654 · inbound

ActivationReasoning: Logical Reasoning in Latent Activation Spaces cites this paper.

ActivationReasoning: Logical Reasoning in Latent Activation Spaces Testing the General Deductive Reasoning Capacity of Large Language Models Using OOD Examples

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-18T05:45:56.260591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-18T05:43:45.863209Z digest=sha256:1641d9cd5a1505c04d521eaa9793346b423f42a17b583896a776da3cac9c24ff