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Paper Citation Record · LEDGER

PIVOTSBench: Evaluating Fine-Grained Interpersonal Relationship Reasoning in Multimodal Large Language Models

As of 8 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 1 inbound Pith citation observation for arXiv:2606.23092.

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

pith.paper-citation-record.v1
2606.23092 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T08:42:26.713614Z

measured 17 of 17 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T01:47:51.053667Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

16 of 16 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved15
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 650c9ba9-2d06-45ee-84df-fb206940328e · outbound

This paper cites SocialMaze: A Benchmark for Evaluating Social Reasoning in Large Language Models.

PIVOTSBench: Evaluating Fine-Grained Interpersonal Relationship Reasoning in Multimodal Large Language Models SocialMaze: A Benchmark for Evaluating Social Reasoning in Large Language Models

Reference 1

Resolution
malformed identifier
arxiv_id, observed 2026-07-04T10:39:44.819288Z

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.

source=pdf_text observed=2026-06-26T08:42:26.713614Z digest=sha256:dc3e68ecbc3400fa2a88d6f63d439ac0fd8fa290a0d344bb14fddc56949469db

Observation 0f0397a1-d52d-4f91-99a2-63958f7738e7 · outbound

This paper cites ###" before and after. If your score is -2, then you should output ###-2### Transcribed Text [data1] Question [data2].

PIVOTSBench: Evaluating Fine-Grained Interpersonal Relationship Reasoning in Multimodal Large Language Models ###" before and after. If your score is -2, then you should output ###-2### Transcribed Text [data1] Question [data2]

Reference 2

Resolution
unresolved
no resolver link, observed 2026-06-26T08:42:26.713614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:42:26.713614Z digest=sha256:5d8fcd5961409ff15f5b3d3e9edbcf81874ef339aa29425d38002a25c5c30336

Observation f8814525-53e4-42a6-89de-508c20726aa8 · outbound

This paper cites image_url.

PIVOTSBench: Evaluating Fine-Grained Interpersonal Relationship Reasoning in Multimodal Large Language Models image_url

Reference 3

Resolution
unresolved
no resolver link, observed 2026-06-26T08:42:26.713614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:42:26.713614Z digest=sha256:602f901785df86c938a224f85fff1a1abdbee3e53eed919dda936422db948449

Observation d51a3598-8908-4cac-aadb-0bf4ab83f373 · outbound

This paper cites []", with each score separated by a comma—for example: [- 2,0,1,2,0,1] (each number corresponds sequentially to the PIVOTS dimensions). Wrap your score with.

PIVOTSBench: Evaluating Fine-Grained Interpersonal Relationship Reasoning in Multimodal Large Language Models []", with each score separated by a comma—for example: [- 2,0,1,2,0,1] (each number corresponds sequentially to the PIVOTS dimensions). Wrap your score with

Reference 4

Resolution
unresolved
no resolver link, observed 2026-06-26T08:42:26.713614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:42:26.713614Z digest=sha256:fd123ce1321c6df199cb44185cc453fb3b88df63ad429938ddb54933a4cd692d

Observation 84aadd5b-c910-4b4e-8a06-d9896c545534 · outbound

This paper cites []", with each score separated by a comma—for example: [-2,0,1,2,0,1] (each number corresponds sequentially to the PIVOTS dimensions). Wrap your score with.

PIVOTSBench: Evaluating Fine-Grained Interpersonal Relationship Reasoning in Multimodal Large Language Models []", with each score separated by a comma—for example: [-2,0,1,2,0,1] (each number corresponds sequentially to the PIVOTS dimensions). Wrap your score with

Reference 5

Resolution
unresolved
no resolver link, observed 2026-06-26T08:42:26.713614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:42:26.713614Z digest=sha256:0c2b4c5701a48b512371d48511595c9bb33c2e5828219e64f9085210f58a898a

Observation d627b666-a548-46f0-8d26-b8abef21766e · outbound

This paper cites type": "image_url.

PIVOTSBench: Evaluating Fine-Grained Interpersonal Relationship Reasoning in Multimodal Large Language Models type": "image_url

Reference 6

Resolution
unresolved
no resolver link, observed 2026-06-26T08:42:26.713614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:42:26.713614Z digest=sha256:51caae1ee564e0a752c1d37a7f1fced1a7a27dcaf2f30cad3a1832d3bff5cb76

Observation 5e7618f3-9ab0-48ee-b384-111ed9984fa2 · outbound

This paper cites ###" before and after. If your answer is A, then you should output ###A### Question: [data1] Options :[data2]}, {.

PIVOTSBench: Evaluating Fine-Grained Interpersonal Relationship Reasoning in Multimodal Large Language Models ###" before and after. If your answer is A, then you should output ###A### Question: [data1] Options :[data2]}, {

Reference 7

Resolution
unresolved
no resolver link, observed 2026-06-26T08:42:26.713614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:42:26.713614Z digest=sha256:1c30de4610d3f34c74254eca209f0640fc76ba9c24606d79f3569149473aed4a

Observation d88524c9-e382-4f69-a25d-d8d089ffe5fd · outbound

This paper cites an unresolved cited work.

PIVOTSBench: Evaluating Fine-Grained Interpersonal Relationship Reasoning in Multimodal Large Language Models Unresolved cited work

Reference 8

Resolution
unresolved
no resolver link, observed 2026-06-26T08:42:26.713614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:42:26.713614Z digest=sha256:fd7f25947ffced4b80ddb929ba9af1a5af47ee55918fdae778de42b52e12f538

Observation 9b4a0294-a35e-4fc4-84b5-9d73c2bd0580 · outbound

This paper cites semantic distance.

PIVOTSBench: Evaluating Fine-Grained Interpersonal Relationship Reasoning in Multimodal Large Language Models semantic distance

Reference 9

Resolution
unresolved
no resolver link, observed 2026-06-26T08:42:26.713614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:42:26.713614Z digest=sha256:4418597525ae767a8840673ac19f459b07e9ca17e37209b3328386a4fa10a901

Observation a111681b-f4bb-40f7-a06c-13b639e008ae · outbound

This paper cites Select the values that align most precisely with the behavioral evidence in the scene, ensuring strict adherence to the provided definitions.

PIVOTSBench: Evaluating Fine-Grained Interpersonal Relationship Reasoning in Multimodal Large Language Models Select the values that align most precisely with the behavioral evidence in the scene, ensuring strict adherence to the provided definitions

Reference 10

Resolution
unresolved
no resolver link, observed 2026-06-26T08:42:26.713614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:42:26.713614Z digest=sha256:7bd2b783fb08af5f68d88695af635ef53bcaeb45b2246313344403ec3736c4ba

Observation 30a4e4ee-f54f-4d42-83cd-7401c3246721 · outbound

This paper cites Independently determine a complete set of PIVOTS values without referring to your findings from Phase 1 and 2.

PIVOTSBench: Evaluating Fine-Grained Interpersonal Relationship Reasoning in Multimodal Large Language Models Independently determine a complete set of PIVOTS values without referring to your findings from Phase 1 and 2

Reference 11

Resolution
unresolved
no resolver link, observed 2026-06-26T08:42:26.713614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:42:26.713614Z digest=sha256:a33f9e391538002117051dddeb8b8fb23a4035a2e8a5b017623877a58ba72d9c

Observation 46c4ca13-5294-4940-8b1a-03bfbee9a64c · outbound

This paper cites ###" before and after. If your score is -2, then you should output ###-2### Transcribed Text [data1] Question [data2].

PIVOTSBench: Evaluating Fine-Grained Interpersonal Relationship Reasoning in Multimodal Large Language Models ###" before and after. If your score is -2, then you should output ###-2### Transcribed Text [data1] Question [data2]

Reference 12

Resolution
unresolved
no resolver link, observed 2026-06-26T08:42:26.713614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:42:26.713614Z digest=sha256:9a7a9212a33b34ae51b96b6b785dc77a0963962e3f749071ec278134ebcece6c

Observation e375078e-423c-4903-944d-09b27446e0a5 · outbound

This paper cites an unresolved cited work.

PIVOTSBench: Evaluating Fine-Grained Interpersonal Relationship Reasoning in Multimodal Large Language Models Unresolved cited work

Reference 13

Resolution
unresolved
no resolver link, observed 2026-06-26T08:42:26.713614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:42:26.713614Z digest=sha256:57cd9f3eb5e0785909521a233bc2b5e67525ba70b1e52d06d81b06695e09f311

Observation 204ebe92-fda6-4d76-acbe-2a69ef45f736 · outbound

This paper cites closed) • Physical Distance (e.g., close vs.

PIVOTSBench: Evaluating Fine-Grained Interpersonal Relationship Reasoning in Multimodal Large Language Models closed) • Physical Distance (e.g., close vs

Reference 14

Resolution
unresolved
no resolver link, observed 2026-06-26T08:42:26.713614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:42:26.713614Z digest=sha256:bddb26462c0912ca503957555f9204bdeca16379947fdeff35c40069d5cea5be

Observation e69aada3-1a35-487e-a31b-25445ed74f6d · outbound

This paper cites You need to reason their perspectives separately." Input Information:.

PIVOTSBench: Evaluating Fine-Grained Interpersonal Relationship Reasoning in Multimodal Large Language Models You need to reason their perspectives separately." Input Information:

Reference 15

Resolution
unresolved
no resolver link, observed 2026-06-26T08:42:26.713614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:42:26.713614Z digest=sha256:7b13992f56051a7d41a82c60c1b3310b4139bf687c8ab3bae6a2f20b388bed6c

Observation 5cdd6fd7-837b-4b03-9640-0cd6baa2222b · outbound

This paper cites Unsolicited Advice.

PIVOTSBench: Evaluating Fine-Grained Interpersonal Relationship Reasoning in Multimodal Large Language Models Unsolicited Advice

Reference 16

Resolution
unresolved
no resolver link, observed 2026-06-26T08:42:26.713614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:42:26.713614Z digest=sha256:4bafe5f3945f8930eac947de0f74c698779e8580077646d5bbd20c156c612dda

Pith citing papers

Observation c64e7cfa-8dd8-4f22-b866-0a07533004f8 · inbound

FriendBench: Benchmarking Dyadic Familiarity Inference in Humans and Multimodal Large Language Models cites this paper.

FriendBench: Benchmarking Dyadic Familiarity Inference in Humans and Multimodal Large Language Models PIVOTSBench: Evaluating Fine-Grained Interpersonal Relationship Reasoning in Multimodal Large Language Models

Reference 34

Resolution
metadata mismatch
local_arxiv, observed 2026-08-03T01:49:21.926934Z

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.

source=arxiv_source observed=2026-08-03T01:47:51.053667Z digest=sha256:42970054f672c0e08f4e7aa04910b4f604f90da099532656374b48bf9ec6d21b