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Paper Citation Record · LEDGER

Evaluating Large Language Models on the Frame and Symbol Grounding Problems: A Zero-shot Benchmark

As of 8 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2506.07896.

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

pith.paper-citation-record.v1
2506.07896 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:27:40.646643Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

14 of 14 outbound references displayed

  • verified exact0
  • verified fuzzy12
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1c700395-a23a-44d4-b4a6-c5ba193de11c · outbound

This paper cites Some philosophical problems f rom the standpoint of artificial intelligence.

Evaluating Large Language Models on the Frame and Symbol Grounding Problems: A Zero-shot Benchmark Some philosophical problems f rom the standpoint of artificial intelligence

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:40.822254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:27:40.596494Z digest=sha256:b5f07ada4bee73f7b95cc27a7ab5df0131484112ff43266083832d4694b2cf42

Observation df50a0eb-4706-48f3-b5d5-fc1133f9614b · outbound

This paper cites Cognitive wheels: The frame problem of ai.

Evaluating Large Language Models on the Frame and Symbol Grounding Problems: A Zero-shot Benchmark Cognitive wheels: The frame problem of ai

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:40.810803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:27:40.601253Z digest=sha256:5c8b3530652ef78fd9ad7d16b28b423957a8c484169160ed072f9f6bad9dd2cc

Observation cfb53bbd-f795-40f3-b77c-3e364fa69e05 · outbound

This paper cites The symbol grounding problem.

Evaluating Large Language Models on the Frame and Symbol Grounding Problems: A Zero-shot Benchmark The symbol grounding problem

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:40.800886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:27:40.605122Z digest=sha256:ba185a925faebf30ae5a25e685ddfa363bf3bad0a99749643b868bab48aea421

Observation 77fe5d6b-e774-4d23-92e3-44fb47e6926e · outbound

This paper cites Sparks of artifi cial general intelligence: Early experiments with gpt-4.

Evaluating Large Language Models on the Frame and Symbol Grounding Problems: A Zero-shot Benchmark Sparks of artifi cial general intelligence: Early experiments with gpt-4

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:40.790272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:27:40.608921Z digest=sha256:249d18e28ecb9948e1f57f347fa37b8914d09043588a080db56cf7117517beef

Observation 114b6496-1f17-471f-a362-d712b1cae6ce · outbound

This paper cites Testing theory o f mind in large language models and humans.

Evaluating Large Language Models on the Frame and Symbol Grounding Problems: A Zero-shot Benchmark Testing theory o f mind in large language models and humans

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:40.779137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:27:40.613624Z digest=sha256:2b57d921f4bbb032bbc66fce0236bb87117b6107bbc3f3fdc1e009a09e855b75

Observation 0b97fae0-47d2-46dd-a7fb-f5bae1f41bc6 · outbound

This paper cites Evaluating large language models in theory of mind t asks.

Evaluating Large Language Models on the Frame and Symbol Grounding Problems: A Zero-shot Benchmark Evaluating large language models in theory of mind t asks

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:40.768020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:27:40.617694Z digest=sha256:8c6a0680a7854024826b023861fa35a125da979d81bf9335815b6130a534c96c

Observation 283287c8-4a18-43b6-b730-1e75bf953e7d · outbound

This paper cites Studying and improving reasoning in hum ans and machines.

Evaluating Large Language Models on the Frame and Symbol Grounding Problems: A Zero-shot Benchmark Studying and improving reasoning in hum ans and machines

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:40.757370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:27:40.621673Z digest=sha256:4a2faee0eb94f8e78555c8b4066e030d4d54b6cedc34892f89a568773ec88ad2

Observation e25b0d21-1eff-4e19-9672-f3ef883af5d6 · outbound

This paper cites Humanlike cognitive patterns as emergent phenomena in large language models.

Evaluating Large Language Models on the Frame and Symbol Grounding Problems: A Zero-shot Benchmark Humanlike cognitive patterns as emergent phenomena in large language models

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:40.746942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:27:40.625287Z digest=sha256:adc31acc91a85305df7ba85cd3ce59fdda2cf8a8c8baef4fc2197447d7995eaa

Observation 105fc3b9-1728-4bdf-bde4-87c4fce161ee · outbound

This paper cites an unresolved cited work.

Evaluating Large Language Models on the Frame and Symbol Grounding Problems: A Zero-shot Benchmark Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:27:40.735400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:27:40.628450Z digest=sha256:4ede8ad6a6eaf3a48f05c12ba3313cf57bd1dc10165574a2d03649f5fccccb4e

Observation c9c07b16-537a-4563-89d9-45af60864c7a · outbound

This paper cites an unresolved cited work.

Evaluating Large Language Models on the Frame and Symbol Grounding Problems: A Zero-shot Benchmark Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:27:40.723850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:27:40.632186Z digest=sha256:0bc208dc266809a574b7d510c8fb90d58e2036fb83df1574b7f696afa3fa6bd6

Observation d82507fd-da5e-4d6c-a4a1-c214732a17b1 · outbound

This paper cites Applying global workspa ce theory to the frame problem.

Evaluating Large Language Models on the Frame and Symbol Grounding Problems: A Zero-shot Benchmark Applying global workspa ce theory to the frame problem

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:40.712901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:27:40.635875Z digest=sha256:3971cbac4430b69a354be680bd218762dd2e22b0b2e2613245dfa92be6b7d0a6

Observation 40ea7cc6-2165-4779-8805-f6f92c604233 · outbound

This paper cites Grounding words in perception and action: computatio nal insights.

Evaluating Large Language Models on the Frame and Symbol Grounding Problems: A Zero-shot Benchmark Grounding words in perception and action: computatio nal insights

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:40.702033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:27:40.639229Z digest=sha256:1e7753740d8c2534e628d3bff4bda9bb465adbdbca8f019b216b8a24482fa4ca

Observation 66fe7eb6-a5ee-4ad0-8bb9-677a607dba5d · outbound

This paper cites The symbol grounding problem has been solved.

Evaluating Large Language Models on the Frame and Symbol Grounding Problems: A Zero-shot Benchmark The symbol grounding problem has been solved

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:40.691380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:27:40.643009Z digest=sha256:8c0339c8f47872f5352aa2fe59e11d6f2aeb5c851a871f78014c6e64e81cd09b

Observation d910a0a0-54c6-4815-b6c1-048ad9bd7302 · outbound

This paper cites Loading␣model:␣{model_id}.

Evaluating Large Language Models on the Frame and Symbol Grounding Problems: A Zero-shot Benchmark Loading␣model:␣{model_id}

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:40.678910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:27:40.646643Z digest=sha256:7b7a2412a34240fe6ab600e31d041e4e58b8a6edd372e3b42800958928d73c6a

Pith citing papers

No inbound Pith citation observations are available.