Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T13:46:27.679324Z
Paper Citation Record · LEDGER
Benchmarking and Understanding Compositional Relational Reasoning of LLMs
As of 21 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 1 inbound Pith citation observation for arXiv:2412.12841.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T04:30:42.215749Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T04:30:49.091477Z
Reference resolution
13 of 13 outbound references displayed
- verified exact0
- verified fuzzy8
- unresolved4
- parse uncertain0
- malformed identifier1
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 513ffc2f-05b3-47c4-bf87-5e27631667f2 · outbound
This paper cites an unresolved cited work.
Benchmarking and Understanding Compositional Relational Reasoning of LLMs Unresolved cited work
Reference 1
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T13:46:27.848653Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation c4d79150-d5f9-4943-8908-c0b24b483e82 · outbound
This paper cites an unresolved cited work.
Benchmarking and Understanding Compositional Relational Reasoning of LLMs Unresolved cited work
Reference 2
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T13:46:27.833801Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 5e0da18e-023e-4a87-8470-b06ad3e73e1c · outbound
This paper cites vehicle.
Benchmarking and Understanding Compositional Relational Reasoning of LLMs vehicle
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T13:46:27.817687Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation b7e3d495-4d6e-445a-b37c-e72cc035341f · outbound
This paper cites affirmative generation) have the same overall structure.
Benchmarking and Understanding Compositional Relational Reasoning of LLMs affirmative generation) have the same overall structure
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T13:46:27.801845Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation d98e33f1-4942-4036-9a1e-583ba0d4be24 · outbound
This paper cites 18.13 PPred.
Benchmarking and Understanding Compositional Relational Reasoning of LLMs 18.13 PPred
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T13:46:27.785854Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 4d621e95-61a6-4f02-a468-95a04fe9d129 · outbound
This paper cites heads vary with different rretrieve, because they retrieve different attributes according to the semantic re- lation.
Benchmarking and Understanding Compositional Relational Reasoning of LLMs heads vary with different rretrieve, because they retrieve different attributes according to the semantic re- lation
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T13:46:27.770402Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation cbfb198f-3a6f-427b-b75c-96c63349b9c0 · outbound
This paper cites Premise: {premise}. Please answer with Yes or No. Can it be inferred from the premise that {hypothesis}? Answer:→{label}.
Benchmarking and Understanding Compositional Relational Reasoning of LLMs Premise: {premise}. Please answer with Yes or No. Can it be inferred from the premise that {hypothesis}? Answer:→{label}
Reference 13
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-11T13:46:27.754408Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation d50d27c9-7099-40c4-acdf-57357d3f56e8 · outbound
This paper cites In Proceedings of the 2015 Conference on Empir- ical Methods in Natural Language Processing (EMNLP).
Benchmarking and Understanding Compositional Relational Reasoning of LLMs In Proceedings of the 2015 Conference on Empir- ical Methods in Natural Language Processing (EMNLP)
Reference 2015
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T13:46:27.912589Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 4c13c7dc-a374-4afd-9010-aa3f8a0507ba · outbound
This paper cites Transformer Circuits Thread, 1(1): 12.
Benchmarking and Understanding Compositional Relational Reasoning of LLMs Transformer Circuits Thread, 1(1): 12
Reference 2021
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T13:46:27.878930Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation b2772f64-865c-403c-9d77-92f3862d6589 · outbound
This paper cites In-context Learning and Induction Heads.
Benchmarking and Understanding Compositional Relational Reasoning of LLMs In-context Learning and Induction Heads
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T13:46:27.643661Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a2852e28-5d65-460f-9ff7-49f36ef4f50e · outbound
This paper cites In Conference on Empirical Methods in Natural Language Processing (EMNLP).
Benchmarking and Understanding Compositional Relational Reasoning of LLMs In Conference on Empirical Methods in Natural Language Processing (EMNLP)
Reference 2023
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T13:46:27.863491Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation fde9c21e-bda1-4612-81ed-30fe522c16fe · outbound
This paper cites In Advances in Neural Information Processing Systems (NeurIPS), volume 36.
Benchmarking and Understanding Compositional Relational Reasoning of LLMs In Advances in Neural Information Processing Systems (NeurIPS), volume 36
Reference 2024
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T13:46:27.896109Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 125a6361-79da-4adf-8678-fcfaf5742bf9 · outbound
This paper cites The Geometry of Truth: Emergent Linear Structure in Large Language Model Representations of True/False Datasets.
Benchmarking and Understanding Compositional Relational Reasoning of LLMs The Geometry of Truth: Emergent Linear Structure in Large Language Model Representations of True/False Datasets
Reference 2882
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T13:46:27.638083Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation a0bb827e-e8e3-4fb8-9109-87a6f223097e · inbound
Toward Skill-Native LLMs: Skill Entropy for Benchmarking and Training Long-Horizon Reasoning cites this paper.
Toward Skill-Native LLMs: Skill Entropy for Benchmarking and Training Long-Horizon Reasoning Benchmarking and Understanding Compositional Relational Reasoning of LLMs
Reference 35
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T04:30:49.095104Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.