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Paper Citation Record · LEDGER

FairReason: Balancing Reasoning and Social Bias in MLLMs

As of 14 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 2 inbound Pith citation observations for arXiv:2507.23067.

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

pith.paper-citation-record.v1
2507.23067 v2

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:09:04.872607Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T01:00:07.465292Z

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

34 of 34 outbound references displayed

  • verified exact0
  • verified fuzzy17
  • unresolved17
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

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

Outbound references

Observation 7004efc8-db6f-451d-b43c-ca02a40800e1 · outbound

This paper cites Clip the bias: How useful is balancing data in multimodal learning?,.

FairReason: Balancing Reasoning and Social Bias in MLLMs Clip the bias: How useful is balancing data in multimodal learning?,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:09:05.781142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T11:09:04.705195Z digest=sha256:ea8c0759d33987f74d314a93451ccdc063db39d1ec23b30915319873bcd33b1b

Observation 237964b7-ceb0-48d3-8f77-cfca7e834e28 · outbound

This paper cites Qwen2.5-vl technical report, 2025.

FairReason: Balancing Reasoning and Social Bias in MLLMs Qwen2.5-vl technical report, 2025

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T11:09:04.710817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:09:04.710817Z digest=sha256:c32c54316ce8f9437dd8ca789013b810dfa9c724369b7479ea2611719410499a

Observation 13eb984e-0e3f-4597-bc89-ab3baa1224bb · outbound

This paper cites A prompt array keeps the bias away: Debiasing vision-language models with ad- versarial learning.

FairReason: Balancing Reasoning and Social Bias in MLLMs A prompt array keeps the bias away: Debiasing vision-language models with ad- versarial learning

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:09:05.751573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T11:09:04.715917Z digest=sha256:8ffa11be53f41008b5a9a529e4e5b428a3491e4d5f07864cc614ef9c09987006

Observation 1c221963-1549-4b5a-aed1-45c7752aa847 · outbound

This paper cites Bow- man, Julian Michael, Ethan Perez, and Miles Turpin.

FairReason: Balancing Reasoning and Social Bias in MLLMs Bow- man, Julian Michael, Ethan Perez, and Miles Turpin

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:09:05.733747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T11:09:04.721549Z digest=sha256:75eafd1a047a4da1d8f64dbdb470be9e535552d2e4f565bee29af1834980ef53

Observation f143a80b-ae1d-4df1-baaf-f12f7e4d169c · outbound

This paper cites Deepseek-r1: Incentivizing reasoning capa- bility in llms via reinforcement learning, 2025.

FairReason: Balancing Reasoning and Social Bias in MLLMs Deepseek-r1: Incentivizing reasoning capa- bility in llms via reinforcement learning, 2025

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:09:05.713413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T11:09:04.727079Z digest=sha256:ab1d3067b6fe40c3e3702e9291e67ee85691c68f615e288d88ced3362ea8b6fb

Observation 86d8da64-0d2b-4cf5-a28f-f639f720a0d0 · outbound

This paper cites Open r1: A fully open reproduction of deepseek-r1, 2025.

FairReason: Balancing Reasoning and Social Bias in MLLMs Open r1: A fully open reproduction of deepseek-r1, 2025

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:09:05.692245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T11:09:04.732481Z digest=sha256:6826de262e7b156c82a1b30f3c892cf9f125f07a40c037ed4752921329f9c0fb

Observation bbd295ba-d0b2-4a03-b525-d349fde37f01 · outbound

This paper cites Vision-r1: Incentivizing reasoning capability in multimodal large language models, 2025.

FairReason: Balancing Reasoning and Social Bias in MLLMs Vision-r1: Incentivizing reasoning capability in multimodal large language models, 2025

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:09:05.671579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T11:09:04.737282Z digest=sha256:01bae0ce5fd25020574cedb1e79c2a3ec7cb7aa467dd2401232a7f942e62fad7

Observation 2ecd0d8e-ce4a-44b6-8f10-29146d58d960 · outbound

This paper cites an unresolved cited work.

FairReason: Balancing Reasoning and Social Bias in MLLMs Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-06T11:09:05.651478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T11:09:04.742751Z digest=sha256:ebed392aaef77b6b53f4baba1e711b0803b40655ddded81df0ad6f647a220cfd

Observation 64eefe0e-4b8c-49fe-b5a0-279ab978312f · outbound

This paper cites MMCode: Benchmarking Multimodal Large Language Models for Code Generation with Visually Rich Programming Problems.

FairReason: Balancing Reasoning and Social Bias in MLLMs MMCode: Benchmarking Multimodal Large Language Models for Code Generation with Visually Rich Programming Problems

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T11:09:04.748471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:09:04.748471Z digest=sha256:9fb9bfaaff910c6dc17f6764a34a717b15e364688875680cfb7b8a61df1abbb8

Observation 95f1ec6c-bfd1-401a-8135-44a112512fab · outbound

This paper cites Let's Verify Step by Step.

FairReason: Balancing Reasoning and Social Bias in MLLMs Let's Verify Step by Step

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T11:09:04.754040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:09:04.754040Z digest=sha256:442e974377654276fe8c73d2ceb50b1cb1904802811253fc5b5bdfcdcadf6f87

Observation faeeffa6-db8f-484c-a075-dbacec772dd4 · outbound

This paper cites Inter-gps: Interpretable geometry problem solving with formal language and sym- bolic reasoning.

FairReason: Balancing Reasoning and Social Bias in MLLMs Inter-gps: Interpretable geometry problem solving with formal language and sym- bolic reasoning

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:09:05.630118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T11:09:04.760058Z digest=sha256:69b9a76cae84bbcc00787b449fbc12ab6b484ea334748384f2ba2efbbef4eba0

Observation deb14924-1a98-4b4b-9c8a-6297cf90cfdb · outbound

This paper cites Metaspatial: Reinforcing 3d spa- tial reasoning in vlms for the metaverse.arXiv preprint arXiv:2503.18470, 2025.

FairReason: Balancing Reasoning and Social Bias in MLLMs Metaspatial: Reinforcing 3d spa- tial reasoning in vlms for the metaverse.arXiv preprint arXiv:2503.18470, 2025

Reference 12

Resolution
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no resolver link, observed 2026-08-06T11:09:04.765397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:09:04.765397Z digest=sha256:85213d1283bc72d2203978ebeaa3232b21cf25d9edcb767fbffd791592d2c902

Observation 748b8416-530d-424f-8833-64bfa8c27f70 · outbound

This paper cites Codev-Bench: How Do LLMs Understand Developer-Centric Code Completion?.

FairReason: Balancing Reasoning and Social Bias in MLLMs Codev-Bench: How Do LLMs Understand Developer-Centric Code Completion?

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T11:09:04.770822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:09:04.770822Z digest=sha256:19747a6821a2988b4e97756f1be57dbd661c9f1de71fb05108f710e1aeb47417

Observation 2ab1bd19-2540-4f77-a237-3f1ddff06c0a · outbound

This paper cites Chain-of-Action: Faithful and Multimodal Question Answering through Large Language Models.

FairReason: Balancing Reasoning and Social Bias in MLLMs Chain-of-Action: Faithful and Multimodal Question Answering through Large Language Models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T11:09:04.776385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:09:04.776385Z digest=sha256:5abf8eab0937e0e6b8d0d63ad1dfb0f0628864345ef7e6aa167d995f749cc3fd

Observation 92c9a00e-a579-4354-a0a7-145138c403cc · outbound

This paper cites Conv-CoA: Improving Open-domain Question Answering in Large Language Models via Conversational Chain-of-Action.

FairReason: Balancing Reasoning and Social Bias in MLLMs Conv-CoA: Improving Open-domain Question Answering in Large Language Models via Conversational Chain-of-Action

Reference 15

Resolution
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no resolver link, observed 2026-08-06T11:09:04.781541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:09:04.781541Z digest=sha256:6d1c76437c45c13270c447321f055f3b9b69455a2d425e353e4b373923efaeff

Observation c99034aa-1b3e-4622-817a-7aa0ed2e364f · outbound

This paper cites Do code llms understand design patterns? In2025 IEEE/ACM Inter- national Workshop on Large Language Models for Code (LLM4Code), pages 209–212.

FairReason: Balancing Reasoning and Social Bias in MLLMs Do code llms understand design patterns? In2025 IEEE/ACM Inter- national Workshop on Large Language Models for Code (LLM4Code), pages 209–212

Reference 16

Resolution
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no resolver link, observed 2026-08-06T11:09:04.786242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:09:04.786242Z digest=sha256:cb0c23417a9a664b36aa11cb4f1c17c43c0ff3ae0361d9cf052a79535893aef4

Observation 7ce4b64e-fdec-426c-9f63-90b7148a8f81 · outbound

This paper cites BBQ: A hand-built bias benchmark for question answering.

FairReason: Balancing Reasoning and Social Bias in MLLMs BBQ: A hand-built bias benchmark for question answering

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:09:05.597637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T11:09:04.791193Z digest=sha256:45ecbbf0a74dfcb9177d8c68d63737ee189b7b6c1af1e59bb6815c10a11fd5a8

Observation aba5c2fd-bd6c-4125-bf70-ca28a397a8c0 · outbound

This paper cites Strengthening multi- modal large language model with bootstrapped preference optimization, 2024.

FairReason: Balancing Reasoning and Social Bias in MLLMs Strengthening multi- modal large language model with bootstrapped preference optimization, 2024

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:09:05.578304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T11:09:04.795642Z digest=sha256:61cff09e011e1c8e535b64b98c21497864d5a4ecf14d95fb8baef566ea996d60

Observation 456d9335-e59e-41d9-994e-91e907429cf7 · outbound

This paper cites Sciscigpt: Advancing human- ai collaboration in the science of science.arXiv preprint arXiv:2504.05559, 2025.

FairReason: Balancing Reasoning and Social Bias in MLLMs Sciscigpt: Advancing human- ai collaboration in the science of science.arXiv preprint arXiv:2504.05559, 2025

Reference 19

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no resolver link, observed 2026-08-06T11:09:04.800286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:09:04.800286Z digest=sha256:ceae54649890b5a65e949b13856d3ea8a85fd4fadb8bf27aec3eb3dc5b9d1e9b

Observation 628aee97-0de9-493b-856c-9432c3878e01 · outbound

This paper cites Math- llava: Bootstrapping mathematical reasoning for multimodal large language models, 2024.

FairReason: Balancing Reasoning and Social Bias in MLLMs Math- llava: Bootstrapping mathematical reasoning for multimodal large language models, 2024

Reference 20

Resolution
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raw_fallback, observed 2026-08-06T11:09:05.558330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T11:09:04.805815Z digest=sha256:f04bc9badd7946b4a27717321624bf1ae0f88063c89ca45a177b8ef645642e24

Observation 6bc74ccc-78a2-4bfe-936d-243a7ced6938 · outbound

This paper cites Qwen3 technical report, 2025.

FairReason: Balancing Reasoning and Social Bias in MLLMs Qwen3 technical report, 2025

Reference 21

Resolution
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no resolver link, observed 2026-08-06T11:09:04.810669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:09:04.810669Z digest=sha256:0f5f533cab27f9319fbe081451dff0f06687bbc66d88aff56b9612206c831351

Observation ee327d2b-a324-45f8-afa2-bb06c787a588 · outbound

This paper cites Llamav-o1: Rethinking step-by- step visual reasoning in llms, 2025.

FairReason: Balancing Reasoning and Social Bias in MLLMs Llamav-o1: Rethinking step-by- step visual reasoning in llms, 2025

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:09:05.518730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T11:09:04.815180Z digest=sha256:c5112bf67716861d3d49d8cbad3b76f09987fda6f6897cdaf8afae096a9b7a6b

Observation de2cf14c-784b-4d7b-ab7e-39b1406b50a5 · outbound

This paper cites an unresolved cited work.

FairReason: Balancing Reasoning and Social Bias in MLLMs Unresolved cited work

Reference 23

Resolution
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raw_fallback, observed 2026-08-06T11:09:05.499995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T11:09:04.819723Z digest=sha256:59e878268032c45f94b91b22e3b8c84d225c3751827d23a350a6680cac401049

Observation cfd2d042-5356-4b00-8688-ea679611ee49 · outbound

This paper cites VLBiasBench: A Comprehensive Benchmark for Evaluating Bias in Large Vision-Language Model.

FairReason: Balancing Reasoning and Social Bias in MLLMs VLBiasBench: A Comprehensive Benchmark for Evaluating Bias in Large Vision-Language Model

Reference 24

Resolution
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no resolver link, observed 2026-08-06T11:09:04.824554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:09:04.824554Z digest=sha256:f107c5f6e1639aded7870b245757f46a175cd82ef558a10a0982c16973fed640

Observation 2ad60f27-15ce-41b4-828b-d665bf2a7be1 · outbound

This paper cites an unresolved cited work.

FairReason: Balancing Reasoning and Social Bias in MLLMs Unresolved cited work

Reference 25

Resolution
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raw_fallback, observed 2026-08-06T11:09:05.480283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T11:09:04.829417Z digest=sha256:f737587eaa2f63877ea3afd8929ce060e0a9bef5c62b297e483a70795bfd29c1

Observation 7db72356-a416-44a1-af8d-15321ef60698 · outbound

This paper cites Does reasoning introduce bias? a study of social bias evaluation and mitigation in llm reason- ing, 2025.

FairReason: Balancing Reasoning and Social Bias in MLLMs Does reasoning introduce bias? a study of social bias evaluation and mitigation in llm reason- ing, 2025

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:09:05.462119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T11:09:04.834154Z digest=sha256:293a31e6a61ba7ff13c5127b5127a94e3fed405fa7432ea7ef4c7ab729e992ae

Observation d6ddc9a1-a7a2-4271-a1d8-a95169bf74e3 · outbound

This paper cites Llava-cot: Let vision language models reason step- by-step, 2024.

FairReason: Balancing Reasoning and Social Bias in MLLMs Llava-cot: Let vision language models reason step- by-step, 2024

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:09:05.442547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T11:09:04.838323Z digest=sha256:e9343053a64dca217d6e06be2e47fe4425f703e71dd5b8923149e7445fdd92ca

Observation 69b874d1-6887-461a-a692-5606b4c2fa66 · outbound

This paper cites Mathverse: Does your multi-modal llm truly see the diagrams in visual math problems? In European Conference on Computer Vision, pages 169–186.

FairReason: Balancing Reasoning and Social Bias in MLLMs Mathverse: Does your multi-modal llm truly see the diagrams in visual math problems? In European Conference on Computer Vision, pages 169–186

Reference 28

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no resolver link, observed 2026-08-06T11:09:04.842979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:09:04.842979Z digest=sha256:0456677c80332e59be4ca1cccb49cc1921f8a95a4b0cf8fe9fd562323cde1516

Observation efbc6850-267b-4c73-a241-f80c6236bc48 · outbound

This paper cites MultiTrust: A Comprehensive Benchmark Towards Trustworthy Multimodal Large Language Models.

FairReason: Balancing Reasoning and Social Bias in MLLMs MultiTrust: A Comprehensive Benchmark Towards Trustworthy Multimodal Large Language Models

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-06T11:09:04.847931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:09:04.847931Z digest=sha256:bd4818de0c484319a04f02b72831d0bbd7b692ab8373cc57e5231e3a677b57d8

Observation 2762fdfb-5cc2-486a-b659-e4949867980f · outbound

This paper cites VLStereoSet: A study of stereotypical bias in pre-trained vision-language models.

FairReason: Balancing Reasoning and Social Bias in MLLMs VLStereoSet: A study of stereotypical bias in pre-trained vision-language models

Reference 30

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raw_fallback, observed 2026-08-06T11:09:05.409998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T11:09:04.853072Z digest=sha256:17cdf92764578494d3a37e54de4311b558f30bb56f019889e74c2f52a4b42425

Observation c69935c5-9286-4a26-aa76-7407a17f8ba5 · outbound

This paper cites Internvl3: Exploring advanced training and test-time recipes for open-source multimodal models, 2025.

FairReason: Balancing Reasoning and Social Bias in MLLMs Internvl3: Exploring advanced training and test-time recipes for open-source multimodal models, 2025

Reference 31

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raw_fallback, observed 2026-08-06T11:09:05.391360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T11:09:04.858137Z digest=sha256:dd49909d005d7bb08d463fde185e2776be303228069079e2cb7f8418c62914b2

Observation d289c445-d819-4e6e-a6fb-ab23b0962474 · outbound

This paper cites For SFT and model distillation, we utilize theLLaMA-Factoryframework with hyperparameter configurations listed in Table 1.

FairReason: Balancing Reasoning and Social Bias in MLLMs For SFT and model distillation, we utilize theLLaMA-Factoryframework with hyperparameter configurations listed in Table 1

Reference 32

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raw_fallback, observed 2026-08-06T11:09:05.371781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T11:09:04.862847Z digest=sha256:726a933b8d402ea7b99bb7fc35c3180d1fddd9f8e4e95a94376f75c999b7b50c

Observation dc58bfde-cd0b-4fc3-b1e8-018fc98ee399 · outbound

This paper cites an unresolved cited work.

FairReason: Balancing Reasoning and Social Bias in MLLMs Unresolved cited work

Reference 33

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unresolved
raw_fallback, observed 2026-08-06T11:09:05.352965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T11:09:04.867600Z digest=sha256:490dc0518e31ad9bd8885024b612ab58da2617a20544317951f4597334135f11

Observation 4022a2b7-4a13-4b5b-b649-97b38ebc6a71 · outbound

This paper cites 1 Table 3.

FairReason: Balancing Reasoning and Social Bias in MLLMs 1 Table 3

Reference 34

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raw_fallback, observed 2026-08-06T11:09:05.333940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T11:09:04.872607Z digest=sha256:0fb64a56bb3be6ca6054229e369f848bb003044beac136cb16e7e3cdd1c63281

Pith citing papers

Observation 445bcf17-5e65-4a3c-90a6-8cbe5df08f33 · inbound

MagicSim: A Unified Infrastructure for Executable Embodied Interaction cites this paper.

MagicSim: A Unified Infrastructure for Executable Embodied Interaction FairReason: Balancing Reasoning and Social Bias in MLLMs

Reference 94

Resolution
verified exact
arxiv_id, observed 2026-07-03T20:58:58.072373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-27T01:00:07.465292Z digest=sha256:246dd4fde6b9cd1f3ed27502683951625ac875a5acbe5589a0e2f8cf7f3f7410

Observation 911c7159-76b4-4415-a026-7d4beff48639 · inbound

MagicSim: A Unified Infrastructure for Executable Embodied Interaction cites this paper.

MagicSim: A Unified Infrastructure for Executable Embodied Interaction FairReason: Balancing Reasoning and Social Bias in MLLMs

Reference 95

Resolution
metadata mismatch
arxiv_id, observed 2026-06-27T01:00:19.778235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-27T01:00:07.465292Z digest=sha256:e7de5cd5a94463ec67f0425d7d4ab9342e1ec158ff9d1156f8af20ab8ef8ffa1