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Paper Citation Record · LEDGER

Geo-Spatial Concept Probing of Large Language Models: Abstraction, Compositionality, and Grounding

As of 17 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 0 inbound Pith citation observations for arXiv:2608.07353.

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

pith.paper-citation-record.v1
2608.07353 v1

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T05:46:57.392886Z

measured 58 of 58 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

58 of 58 outbound references displayed

  • verified exact11
  • verified fuzzy4
  • unresolved40
  • parse uncertain0
  • malformed identifier3
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e48f6ced-e159-47d1-a606-05a9f3e63754 · outbound

This paper cites an unresolved cited work.

Geo-Spatial Concept Probing of Large Language Models: Abstraction, Compositionality, and Grounding Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-10T05:46:59.599145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 6ce8afbb-2341-498e-94be-0734c8042d3b · outbound

This paper cites an unresolved cited work.

Geo-Spatial Concept Probing of Large Language Models: Abstraction, Compositionality, and Grounding Unresolved cited work

Reference 2

Resolution
malformed identifier
no resolver link, observed 2026-08-10T05:46:57.178250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T05:46:57.178250Z digest=sha256:af198bfc7ed49436dbec7058bc60c90754738a68854a3a068385962517d4d1c2

Observation 5e1cebc4-ccbb-42a9-9961-02043cbb5188 · outbound

This paper cites an unresolved cited work.

Geo-Spatial Concept Probing of Large Language Models: Abstraction, Compositionality, and Grounding Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-10T05:46:59.589140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 99ba6dbd-4cfb-486d-9f92-94b7cfc4a6d6 · outbound

This paper cites an unresolved cited work.

Geo-Spatial Concept Probing of Large Language Models: Abstraction, Compositionality, and Grounding Unresolved cited work

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-10T05:46:57.188180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T05:46:57.188180Z digest=sha256:bb5e68f13bdfeb62bb9364d752866773246ef9d08834f8fac47ab66e4549507e

Observation 3568e094-695a-4374-a53e-2d55868b00aa · outbound

This paper cites Brachman.

Geo-Spatial Concept Probing of Large Language Models: Abstraction, Compositionality, and Grounding Brachman

Reference 5

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-10T05:46:59.287808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 9c29853f-42d2-4c60-9b1e-b924624db375 · outbound

This paper cites an unresolved cited work.

Geo-Spatial Concept Probing of Large Language Models: Abstraction, Compositionality, and Grounding Unresolved cited work

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-10T05:46:57.196774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T05:46:57.196774Z digest=sha256:0163066102cff42aa219b7fe073362456992d04d449d8a39be93f4112dcb35e7

Observation 2373b394-5a05-4f50-a4ca-1ab92e70ce21 · outbound

This paper cites an unresolved cited work.

Geo-Spatial Concept Probing of Large Language Models: Abstraction, Compositionality, and Grounding Unresolved cited work

Reference 7

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-10T05:46:58.966914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation c6b12ee5-5265-4976-bcfa-4b730e96e860 · outbound

This paper cites an unresolved cited work.

Geo-Spatial Concept Probing of Large Language Models: Abstraction, Compositionality, and Grounding Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-10T05:46:59.579365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 6cee61cd-56b1-443c-96d7-5d202de5e982 · outbound

This paper cites an unresolved cited work.

Geo-Spatial Concept Probing of Large Language Models: Abstraction, Compositionality, and Grounding Unresolved cited work

Reference 9

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-10T05:46:58.784170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation e9ab4f75-abc4-48ff-a0dc-4b9cb9e133f8 · outbound

This paper cites Fodor and Zenon W.

Geo-Spatial Concept Probing of Large Language Models: Abstraction, Compositionality, and Grounding Fodor and Zenon W

Reference 10

Resolution
malformed identifier
no resolver link, observed 2026-08-10T05:46:57.212486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 24500990-4577-455c-8f1a-873528173c4c · outbound

This paper cites an unresolved cited work.

Geo-Spatial Concept Probing of Large Language Models: Abstraction, Compositionality, and Grounding Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-10T05:46:59.569037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T05:46:57.216725Z digest=sha256:0a42c2a1248c5f312a097c1f00d57a826bc9953bd4bf4a8766760868b2fd9c60

Observation 6d490bf5-9411-4717-965f-df8610e2cd8f · outbound

This paper cites an unresolved cited work.

Geo-Spatial Concept Probing of Large Language Models: Abstraction, Compositionality, and Grounding Unresolved cited work

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-10T05:46:57.220759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T05:46:57.220759Z digest=sha256:7b81eefd57b58175b1cbf029e25c1f0eea52d93a28329f47abd546442d4fc35f

Observation 3d3130e9-a70e-4542-a3e3-0138bb8358a6 · outbound

This paper cites Goddu, Alva Noë, and Evan Thompson.

Geo-Spatial Concept Probing of Large Language Models: Abstraction, Compositionality, and Grounding Goddu, Alva Noë, and Evan Thompson

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 7ecee757-c74b-4d2e-8b33-880280279e67 · outbound

This paper cites an unresolved cited work.

Geo-Spatial Concept Probing of Large Language Models: Abstraction, Compositionality, and Grounding Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-10T05:46:59.546860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation ce31e219-025b-41e2-8b67-105d879667fe · outbound

This paper cites an unresolved cited work.

Geo-Spatial Concept Probing of Large Language Models: Abstraction, Compositionality, and Grounding Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-10T05:46:59.536676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 7c82fcdc-f896-45ad-acb2-acfedae1cdfb · outbound

This paper cites an unresolved cited work.

Geo-Spatial Concept Probing of Large Language Models: Abstraction, Compositionality, and Grounding Unresolved cited work

Reference 16

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-10T05:46:58.574041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation f2b2b850-5917-4b3e-9e6e-6ad21775ef0c · outbound

This paper cites an unresolved cited work.

Geo-Spatial Concept Probing of Large Language Models: Abstraction, Compositionality, and Grounding Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-10T05:46:59.526271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 13ad10ac-c0d7-4e16-9f3b-2ec3592fccf6 · outbound

This paper cites an unresolved cited work.

Geo-Spatial Concept Probing of Large Language Models: Abstraction, Compositionality, and Grounding Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-10T05:46:59.514722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation b8d9bf23-816e-4551-83e6-54097d3c9186 · outbound

This paper cites an unresolved cited work.

Geo-Spatial Concept Probing of Large Language Models: Abstraction, Compositionality, and Grounding Unresolved cited work

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-10T05:46:57.248716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T05:46:57.248716Z digest=sha256:6fb434cf9ea7164f68cd35e0b81c4ad959d8f7a153400939463e27e40fba49f0

Observation 3b6c0313-c1ba-4ee5-9325-a3cbda3448aa · outbound

This paper cites an unresolved cited work.

Geo-Spatial Concept Probing of Large Language Models: Abstraction, Compositionality, and Grounding Unresolved cited work

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-10T05:46:57.252846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T05:46:57.252846Z digest=sha256:b567eeff6d927088dd222e151f22c641fbe39ec6a0f34a304f57847988878db7

Observation 4212ddd2-257b-4091-96ac-f4dc1fd6f881 · outbound

This paper cites Lake and Marco Baroni.

Geo-Spatial Concept Probing of Large Language Models: Abstraction, Compositionality, and Grounding Lake and Marco Baroni

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T05:46:59.488770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation de27f85d-29da-4471-a750-d9c45e33682e · outbound

This paper cites an unresolved cited work.

Geo-Spatial Concept Probing of Large Language Models: Abstraction, Compositionality, and Grounding Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-10T05:46:59.477797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 63f5e17e-186d-40a4-9dc3-71fce50a8bd9 · outbound

This paper cites an unresolved cited work.

Geo-Spatial Concept Probing of Large Language Models: Abstraction, Compositionality, and Grounding Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-10T05:46:59.466117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 7b22e47a-1c25-4e9d-af00-124530aa721b · outbound

This paper cites an unresolved cited work.

Geo-Spatial Concept Probing of Large Language Models: Abstraction, Compositionality, and Grounding Unresolved cited work

Reference 24

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation b2f24ac0-79ab-4414-8731-ceee8f1ac06e · outbound

This paper cites an unresolved cited work.

Geo-Spatial Concept Probing of Large Language Models: Abstraction, Compositionality, and Grounding Unresolved cited work

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-10T05:46:57.271808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T05:46:57.271808Z digest=sha256:e2d54ac9edcab7f39dd7e219585cce3ace3058bdd4c720ae7435ab92e9f0961d

Observation 373a0f7a-d2c5-4255-ac37-cd5004361f98 · outbound

This paper cites an unresolved cited work.

Geo-Spatial Concept Probing of Large Language Models: Abstraction, Compositionality, and Grounding Unresolved cited work

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-10T05:46:57.275752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T05:46:57.275752Z digest=sha256:fa9d3cae25668a55d7505ce0a7bb102687eeb393246c38e307bba661d2d62fcb

Observation f20dbaa7-3f13-499d-a593-7967909c2c4a · outbound

This paper cites an unresolved cited work.

Geo-Spatial Concept Probing of Large Language Models: Abstraction, Compositionality, and Grounding Unresolved cited work

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-10T05:46:57.279463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T05:46:57.279463Z digest=sha256:e3a2df9bae35ca9c62ce6b533efcc2f6ebdb95dbaafab236ade9906c58b52f96

Observation 8f95f78c-1504-41fe-937e-e057d3401c84 · outbound

This paper cites Lobell, and Stefano Ermon.

Geo-Spatial Concept Probing of Large Language Models: Abstraction, Compositionality, and Grounding Lobell, and Stefano Ermon

Reference 28

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation c4900135-7184-464f-b567-c5dc78712483 · outbound

This paper cites an unresolved cited work.

Geo-Spatial Concept Probing of Large Language Models: Abstraction, Compositionality, and Grounding Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-10T05:46:59.427381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation d62e70b5-d7c0-4271-963f-62f5cc02200d · outbound

This paper cites Evaluating Brain-Inspired Modular Training in Automated Circuit Discovery for Mechanistic Interpretability.

Geo-Spatial Concept Probing of Large Language Models: Abstraction, Compositionality, and Grounding Evaluating Brain-Inspired Modular Training in Automated Circuit Discovery for Mechanistic Interpretability

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-10T05:46:57.294513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 89d09789-c179-4bb6-9744-0a32b736d81c · outbound

This paper cites an unresolved cited work.

Geo-Spatial Concept Probing of Large Language Models: Abstraction, Compositionality, and Grounding Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-10T05:46:59.417595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 7850975f-ef50-432f-b685-0c8dc74967e3 · outbound

This paper cites an unresolved cited work.

Geo-Spatial Concept Probing of Large Language Models: Abstraction, Compositionality, and Grounding Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-08-10T05:46:59.407796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 5da26bd9-6a67-489f-8272-30b65daf3831 · outbound

This paper cites an unresolved cited work.

Geo-Spatial Concept Probing of Large Language Models: Abstraction, Compositionality, and Grounding Unresolved cited work

Reference 33

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T05:46:57.306288Z digest=sha256:be59008a5cc342b78bbda925ea3af7294190656be71c449864945af38624eab9

Observation 4866c986-4a18-40f4-a855-b11d17013c1e · outbound

This paper cites an unresolved cited work.

Geo-Spatial Concept Probing of Large Language Models: Abstraction, Compositionality, and Grounding Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-10T05:46:59.398011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation f5494e52-10b0-4a00-8e63-54516e78df5e · outbound

This paper cites an unresolved cited work.

Geo-Spatial Concept Probing of Large Language Models: Abstraction, Compositionality, and Grounding Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-10T05:46:59.387570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 8f05d1c5-ebaf-422d-91a9-1861d129da37 · outbound

This paper cites an unresolved cited work.

Geo-Spatial Concept Probing of Large Language Models: Abstraction, Compositionality, and Grounding Unresolved cited work

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-10T05:46:57.317939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T05:46:57.317939Z digest=sha256:21c63f0e470d87743ffac5bf87238cd2e7d8411af2b3f8b591789bed7e1519d5

Observation 299f59a2-fba0-428f-8dfb-6411a6dbfe8a · outbound

This paper cites an unresolved cited work.

Geo-Spatial Concept Probing of Large Language Models: Abstraction, Compositionality, and Grounding Unresolved cited work

Reference 37

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-10T05:46:58.392482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 4ee75bc5-111a-4ac3-b4ae-4e7ac613180c · outbound

This paper cites RankVicuna: Zero-Shot Listwise Document Reranking with Open-Source Large Language Models.

Geo-Spatial Concept Probing of Large Language Models: Abstraction, Compositionality, and Grounding RankVicuna: Zero-Shot Listwise Document Reranking with Open-Source Large Language Models

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-10T05:46:57.325292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T05:46:57.325292Z digest=sha256:f6b599a978ed00c3ebd7700aec288231534754f26f43d727127deb965ef90db7

Observation e096329f-515d-4ef2-a18b-e6a86a2ebd7a · outbound

This paper cites Smith, and Mike Lewis.

Geo-Spatial Concept Probing of Large Language Models: Abstraction, Compositionality, and Grounding Smith, and Mike Lewis

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-10T05:46:57.329121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T05:46:57.329121Z digest=sha256:9da4eca16efaf3c8e0a606f4b8a595f2cdad1c51e60f1db771783e53a013ac1e

Observation 009a0aec-a097-4b0a-a536-f2d0d912bbb2 · outbound

This paper cites an unresolved cited work.

Geo-Spatial Concept Probing of Large Language Models: Abstraction, Compositionality, and Grounding Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-10T05:46:59.377613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T05:46:57.332668Z digest=sha256:1533cce92f66257da3b58d8a4b72bbe6c5fffe41bcddfe0b8a4939bb8c200d5b

Observation 9fab08e9-be25-4100-8d32-4bd55a732799 · outbound

This paper cites an unresolved cited work.

Geo-Spatial Concept Probing of Large Language Models: Abstraction, Compositionality, and Grounding Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-10T05:46:59.367576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T05:46:57.336041Z digest=sha256:5438c2d06461bef89dd9fe4e5f1f5965d0ce8f8f612bf0941b1e8b5b9670f3dd

Observation 77453f5a-7cfe-4afc-bb09-6dd2e164cc04 · outbound

This paper cites an unresolved cited work.

Geo-Spatial Concept Probing of Large Language Models: Abstraction, Compositionality, and Grounding Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-10T05:46:59.356971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 6ef1ad98-f73f-4b3b-8eaf-6ae6a6d4cdf7 · outbound

This paper cites Concept Embedding Analysis: A Review.

Geo-Spatial Concept Probing of Large Language Models: Abstraction, Compositionality, and Grounding Concept Embedding Analysis: A Review

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-10T05:46:57.347062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T05:46:57.347062Z digest=sha256:13c831d244e41ef4c545acc57f78d60b5a7f504affdccf440ee4f15b98a39e06

Observation 0622c0c5-f39c-43c0-af08-4f99730b2001 · outbound

This paper cites an unresolved cited work.

Geo-Spatial Concept Probing of Large Language Models: Abstraction, Compositionality, and Grounding Unresolved cited work

Reference 44

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-10T05:46:58.225561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 300e0706-ccfe-404a-bff4-d5ccf1a31a25 · outbound

This paper cites an unresolved cited work.

Geo-Spatial Concept Probing of Large Language Models: Abstraction, Compositionality, and Grounding Unresolved cited work

Reference 45

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-10T05:46:58.042174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T05:46:57.354332Z digest=sha256:4a8522a8efe9f5e2fb479534db623dfc9ace1242483ba78de52ab541c6a629f8

Observation 4a4e9d6d-aee7-4736-acbf-f9fb5801eb89 · outbound

This paper cites an unresolved cited work.

Geo-Spatial Concept Probing of Large Language Models: Abstraction, Compositionality, and Grounding Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-10T05:46:59.336486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T05:46:57.357870Z digest=sha256:32e3200d998958ad3591d295969ce8801f250a22bc70d8306f55b4d3af4ab6f8

Observation 86f004f8-53e1-439b-9f05-d1dc9b124057 · outbound

This paper cites an unresolved cited work.

Geo-Spatial Concept Probing of Large Language Models: Abstraction, Compositionality, and Grounding Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-10T05:46:59.346367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T05:46:57.350810Z digest=sha256:cb1447307aebb6dc7753a42fcdbd60fe8034edbae36631a4299283fd1f184346

Observation dac26416-919a-42e1-bd89-4ffefa9e9057 · outbound

This paper cites an unresolved cited work.

Geo-Spatial Concept Probing of Large Language Models: Abstraction, Compositionality, and Grounding Unresolved cited work

Reference 48

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-10T05:46:57.879965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T05:46:57.365048Z digest=sha256:7cd1bb6d088f2aae5634a77622ef512d7a35bf7a675fe06ec1b8b19202336c11

Observation 85bf5730-88ac-4897-847f-a58a1d3ec026 · outbound

This paper cites an unresolved cited work.

Geo-Spatial Concept Probing of Large Language Models: Abstraction, Compositionality, and Grounding Unresolved cited work

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-10T05:46:57.369179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T05:46:57.369179Z digest=sha256:ba1cf5e363e01bae314390de4b3d6249c4b82a69d52177edf3fdf42167058653

Observation 86158195-44da-40aa-b88f-a3a86e1402e3 · outbound

This paper cites an unresolved cited work.

Geo-Spatial Concept Probing of Large Language Models: Abstraction, Compositionality, and Grounding Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-10T05:46:59.326265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T05:46:57.361460Z digest=sha256:7251c4ad80b6d6c4eab03e577b2b1f2540c4fd6d51ec77ae345d4641f693512f

Observation 4ac31cbe-11d2-47c5-a78f-c2f37d48aabd · outbound

This paper cites an unresolved cited work.

Geo-Spatial Concept Probing of Large Language Models: Abstraction, Compositionality, and Grounding Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-10T05:46:59.316192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T05:46:57.376855Z digest=sha256:8410ce24e29ad41b4f1c81882d490469260cf0f9443064b1744dfb27590dc941

Observation bf3a3509-0f0c-4ef4-a55f-3ac1bdef178d · outbound

This paper cites an unresolved cited work.

Geo-Spatial Concept Probing of Large Language Models: Abstraction, Compositionality, and Grounding Unresolved cited work

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-10T05:46:57.380587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T05:46:57.380587Z digest=sha256:902bc83493fc826d9775281fbc0b3e774543909ab0565f0ea684e7927d5aa56f

Observation 261d44e6-77f3-401f-89f5-097fbcc6d548 · outbound

This paper cites an unresolved cited work.

Geo-Spatial Concept Probing of Large Language Models: Abstraction, Compositionality, and Grounding Unresolved cited work

Reference 53

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-10T05:46:57.719359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T05:46:57.373118Z digest=sha256:0660b8b19c9de91a4989e9ee74e7265c5cce6453dab2a20b9420ba32853414ea

Observation cd93fed7-d04e-4fe9-9d35-da40663914c8 · outbound

This paper cites an unresolved cited work.

Geo-Spatial Concept Probing of Large Language Models: Abstraction, Compositionality, and Grounding Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-08-10T05:46:59.305125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T05:46:57.389369Z digest=sha256:07dedcdd68ab89835b7dac4cb85f0d9f1f3d78c812725d169f1127e7b990e555

Observation bc4f502e-eff1-4747-9b93-dfa9ea42a0d4 · outbound

This paper cites an unresolved cited work.

Geo-Spatial Concept Probing of Large Language Models: Abstraction, Compositionality, and Grounding Unresolved cited work

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-10T05:46:57.392886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T05:46:57.392886Z digest=sha256:2ccd1ccb40e59e171137d4efa6252ad75e373679d410bed7d788a87a185b1f4c

Observation 05404ec4-64bc-4e58-9a41-cfd9698b4516 · outbound

This paper cites Understanding and Mitigating Gender Bias in LLMs via Interpretable Neuron Editing.

Geo-Spatial Concept Probing of Large Language Models: Abstraction, Compositionality, and Grounding Understanding and Mitigating Gender Bias in LLMs via Interpretable Neuron Editing

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-10T05:46:57.385220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T05:46:57.385220Z digest=sha256:8408a3f9c4286108513352c348b58ca504aab7c60277b0ae8490bf87312ccac7

Observation 6410ab1f-ebd4-4a38-855f-09dcfe7aad88 · outbound

This paper cites InProceedings of the 41st International Conference on Machine Learning(Vienna, Austria)(ICML’24).

Geo-Spatial Concept Probing of Large Language Models: Abstraction, Compositionality, and Grounding InProceedings of the 41st International Conference on Machine Learning(Vienna, Austria)(ICML’24)

Reference 2024

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T05:46:59.448363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T05:46:57.283251Z digest=sha256:b396a230fb8438763e5c78c90c2917f8d9ea65f28a24d18144f024a47c912d31

Observation b617cdf5-74d5-40f6-ba2f-150532ac126a · outbound

This paper cites In Findings of the Association for Computational Linguistics: EMNLP 2025, Christos Christodoulopoulos, Tanmoy Chakraborty, Carolyn Rose, and Violet Peng (Eds.).

Geo-Spatial Concept Probing of Large Language Models: Abstraction, Compositionality, and Grounding In Findings of the Association for Computational Linguistics: EMNLP 2025, Christos Christodoulopoulos, Tanmoy Chakraborty, Carolyn Rose, and Violet Peng (Eds.)

Reference 2025

Resolution
verified exact
doi, observed 2026-08-10T05:46:57.514734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T05:46:57.174137Z digest=sha256:57b587ad5a3e14cf86ebe7482f83705d64fdbc437fc26788d1b5afec3c189b1f

Pith citing papers

No inbound Pith citation observations are available.