Paper Citation Record · LEDGER

Structured, flexible, and robust: benchmarking and improving large language models towards more human-like behavior in out-of-distribution reasoning tasks

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2205.05718.

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

pith.paper-citation-record.v1
2205.05718 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T19:35:29.404411Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

14
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 2cdb624d-d2da-4814-9c2c-0edb78829e90 · inbound

Annotating Compositionality Scores for Irish Noun Compounds is Hard Work cites this paper.

Annotating Compositionality Scores for Irish Noun Compounds is Hard Work Structured, flexible, and robust: benchmarking and improving large language models towards more human-like behavior in out-of-distribution reasoning tasks

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T19:35:29.404411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e335ab1c-82d5-46d0-9b99-a5dfdcb741e1 · inbound

THiNK: Can Large Language Models Think-aloud? cites this paper.

THiNK: Can Large Language Models Think-aloud? Structured, flexible, and robust: benchmarking and improving large language models towards more human-like behavior in out-of-distribution reasoning tasks

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-07T14:04:34.565123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fee1fc90-5a2b-48d0-8b7a-d830ea5935c5 · inbound

Integrating Neural and Symbolic Components in a Model of Pragmatic Question-Answering cites this paper.

Integrating Neural and Symbolic Components in a Model of Pragmatic Question-Answering Structured, flexible, and robust: benchmarking and improving large language models towards more human-like behavior in out-of-distribution reasoning tasks

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T11:46:59.602619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 005c19d1-0b57-4013-aec4-7a3a5d334f46 · inbound

Verbalized Algorithms: Classical Algorithms are All You Need (Mostly) cites this paper.

Verbalized Algorithms: Classical Algorithms are All You Need (Mostly) Structured, flexible, and robust: benchmarking and improving large language models towards more human-like behavior in out-of-distribution reasoning tasks

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-18T17:21:40.045247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ebed48e3-7760-4de5-a42f-0d1dd03ea72b · inbound

Verbalized Algorithms: Classical Algorithms are All You Need (Mostly) cites this paper.

Reference 2014

Resolution: unresolved; no resolver link, observed 2026-08-04T21:15:58.211139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6d0b2fd-dd91-4f6e-af11-d739c3c485db · inbound

Dark Patterns Meet GUI Agents: LLM Agent Susceptibility to Manipulative Interfaces and the Role of Human Oversight cites this paper.

Dark Patterns Meet GUI Agents: LLM Agent Susceptibility to Manipulative Interfaces and the Role of Human Oversight Structured, flexible, and robust: benchmarking and improving large language models towards more human-like behavior in out-of-distribution reasoning tasks

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T17:40:08.193346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ccbdacab-88e3-4cba-8791-902cd3ed25a7 · inbound

Can Vision Language Models Learn Intuitive Physics from Interaction? cites this paper.

Can Vision Language Models Learn Intuitive Physics from Interaction? Structured, flexible, and robust: benchmarking and improving large language models towards more human-like behavior in out-of-distribution reasoning tasks

Reference 1998

Resolution: unresolved; no resolver link, observed 2026-08-03T04:05:22.674062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ec8ef89-e1ce-4395-8132-f3db93278041 · inbound

RoboWits: Unexpected Challenges for Robotic Creative Problem Solving cites this paper.

RoboWits: Unexpected Challenges for Robotic Creative Problem Solving Structured, flexible, and robust: benchmarking and improving large language models towards more human-like behavior in out-of-distribution reasoning tasks

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-06-29T07:13:16.867955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 805bdc27-8a09-40ad-8859-9f1f6e428265 · inbound

Consistency Training while Mitigating Obfuscation via Rate Matching cites this paper.

Consistency Training while Mitigating Obfuscation via Rate Matching Structured, flexible, and robust: benchmarking and improving large language models towards more human-like behavior in out-of-distribution reasoning tasks

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-06-28T14:32:18.073561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.