Paper Citation Record · LEDGER

PictOBI-20k: Unveiling Large Multimodal Models in Visual Decipherment for Pictographic Oracle Bone Characters

As of 7 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 2 inbound Pith citation observations for arXiv:2509.05773.

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

pith.paper-citation-record.v1
2509.05773 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T05:02:23.843390Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T05:02:23.681284Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T09:35:39.727668Z

Reference resolution

31 of 31 outbound references displayed

verified exact1
verified fuzzy22
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 464cd873-0a80-4ad1-b8cb-c7616ddbbb51 · outbound

This paper cites Since its discovery in 1899, its decipherment has been a primary objective for schol- ars.

PictOBI-20k: Unveiling Large Multimodal Models in Visual Decipherment for Pictographic Oracle Bone Characters Since its discovery in 1899, its decipherment has been a primary objective for schol- ars

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:02:24.403164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 26792f3e-fcc2-436c-8dda-7f523e959d67 · outbound

This paper cites PictOBI-20k: Unveiling Large Multimodal Models in Visual Decipherment for Pictographic Oracle Bone Characters.

PictOBI-20k: Unveiling Large Multimodal Models in Visual Decipherment for Pictographic Oracle Bone Characters PictOBI-20k: Unveiling Large Multimodal Models in Visual Decipherment for Pictographic Oracle Bone Characters

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-05T05:02:23.681284Z

Source-reported events for the cited work

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Observation 810d58d2-7df9-4b12-bcfa-a0bbaaeaacc6 · outbound

This paper cites increase-first, saturate-later.

PictOBI-20k: Unveiling Large Multimodal Models in Visual Decipherment for Pictographic Oracle Bone Characters increase-first, saturate-later

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:02:24.355170Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation b392b230-48ac-4290-b8fe-cd72d48a34f0 · outbound

This paper cites Which real object corresponds to the given OBC image?.

PictOBI-20k: Unveiling Large Multimodal Models in Visual Decipherment for Pictographic Oracle Bone Characters Which real object corresponds to the given OBC image?

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:02:24.371055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 8e12ad08-f067-40dd-8ffc-d69366065532 · outbound

This paper cites Qwen2.5-VL Technical Report.

PictOBI-20k: Unveiling Large Multimodal Models in Visual Decipherment for Pictographic Oracle Bone Characters Qwen2.5-VL Technical Report

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T05:02:23.730839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1828684a-205c-4ad0-9048-6f438ede5411 · outbound

This paper cites PictOBI-20k consists of 15k multi-choice questions and 240 reference point maps with accurate human annotations, which cover 80 OBC categories.

PictOBI-20k: Unveiling Large Multimodal Models in Visual Decipherment for Pictographic Oracle Bone Characters PictOBI-20k consists of 15k multi-choice questions and 240 reference point maps with accurate human annotations, which cover 80 OBC categories

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:02:24.338841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 4fc150b1-4d27-4be7-816e-bb5c5df5b245 · outbound

This paper cites Obi-bench: Can lmms aid in study of ancient script on oracle bones?.

PictOBI-20k: Unveiling Large Multimodal Models in Visual Decipherment for Pictographic Oracle Bone Characters Obi-bench: Can lmms aid in study of ancient script on oracle bones?

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:02:24.320501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0c03b85d-534d-479a-ba17-fa4354209a7c · outbound

This paper cites Mitigating Long-tail Distribution in Oracle Bone Inscriptions: Dataset, Model, and Benchmark.

PictOBI-20k: Unveiling Large Multimodal Models in Visual Decipherment for Pictographic Oracle Bone Characters Mitigating Long-tail Distribution in Oracle Bone Inscriptions: Dataset, Model, and Benchmark

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-05T05:02:24.032589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 8f52b20d-c7b5-44fa-95f9-967887438507 · outbound

This paper cites Obiformer: A fast attentive denoising framework for oracle bone inscriptions,.

PictOBI-20k: Unveiling Large Multimodal Models in Visual Decipherment for Pictographic Oracle Bone Characters Obiformer: A fast attentive denoising framework for oracle bone inscriptions,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:02:24.303853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 485dfdc6-e8e3-4f19-a431-6bfae9116e54 · outbound

This paper cites Chinese writing,.

PictOBI-20k: Unveiling Large Multimodal Models in Visual Decipherment for Pictographic Oracle Bone Characters Chinese writing,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:02:24.288056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation aa2c9de4-f1ec-4a95-9d69-029c487e87c5 · outbound

This paper cites Sundial-gan: A cascade generative adversarial networks framework for deciphering oracle bone inscriptions,.

PictOBI-20k: Unveiling Large Multimodal Models in Visual Decipherment for Pictographic Oracle Bone Characters Sundial-gan: A cascade generative adversarial networks framework for deciphering oracle bone inscriptions,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:02:24.195799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 1d7bd123-08ca-4b60-86e1-6d1f7391334c · outbound

This paper cites V-oracle: Making progressive reasoning in deciphering oracle bones for you and me,.

PictOBI-20k: Unveiling Large Multimodal Models in Visual Decipherment for Pictographic Oracle Bone Characters V-oracle: Making progressive reasoning in deciphering oracle bones for you and me,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:02:24.271985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a4fcfdb9-2125-4f82-9f63-747a60231b03 · outbound

This paper cites Component-level segmentation for ora- cle bone inscription decipherment,.

PictOBI-20k: Unveiling Large Multimodal Models in Visual Decipherment for Pictographic Oracle Bone Characters Component-level segmentation for ora- cle bone inscription decipherment,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:02:24.256950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 8ded8616-5645-4268-9240-c3c83281cbd3 · outbound

This paper cites Hello gpt-4o,.

PictOBI-20k: Unveiling Large Multimodal Models in Visual Decipherment for Pictographic Oracle Bone Characters Hello gpt-4o,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:02:24.241398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 6aa0c033-6235-4fba-9822-2db798b5a6fb · outbound

This paper cites V-Oracle [6] applies principles of pic- tographic character formation and establishes a multi-stage oracle alignment tuning for improving the basic understand- ing of OBCs.

PictOBI-20k: Unveiling Large Multimodal Models in Visual Decipherment for Pictographic Oracle Bone Characters V-Oracle [6] applies principles of pic- tographic character formation and establishes a multi-stage oracle alignment tuning for improving the basic understand- ing of OBCs

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:02:24.387062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f23c79fe-b0c3-4340-8267-fb072aed36b2 · outbound

This paper cites Self-supervised learning of orc-bert aug- mentator for recognizing few-shot oracle characters,.

PictOBI-20k: Unveiling Large Multimodal Models in Visual Decipherment for Pictographic Oracle Bone Characters Self-supervised learning of orc-bert aug- mentator for recognizing few-shot oracle characters,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:02:24.226483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 81c3a339-cd1c-424a-bd1c-55fa68127524 · outbound

This paper cites Deciphering oracle bone language with diffusion models,.

PictOBI-20k: Unveiling Large Multimodal Models in Visual Decipherment for Pictographic Oracle Bone Characters Deciphering oracle bone language with diffusion models,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:02:24.210633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 8e687a81-8f0c-40c2-a214-a625612615cf · outbound

This paper cites Learning transferable visual mod- els from natural language supervision,.

PictOBI-20k: Unveiling Large Multimodal Models in Visual Decipherment for Pictographic Oracle Bone Characters Learning transferable visual mod- els from natural language supervision,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:02:24.180787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f7318b7d-eef4-46b9-b592-a15b4a1e6248 · outbound

This paper cites Dynamic dataset augmentation for deep learning-based oracle bone inscriptions recognition,.

PictOBI-20k: Unveiling Large Multimodal Models in Visual Decipherment for Pictographic Oracle Bone Characters Dynamic dataset augmentation for deep learning-based oracle bone inscriptions recognition,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:02:24.166114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation adbb4f0a-3b93-41d4-8493-8afed815a54a · outbound

This paper cites OracleSage: Towards Unified Visual-Linguistic Understanding of Oracle Bone Scripts through Cross-Modal Knowledge Fusion.

PictOBI-20k: Unveiling Large Multimodal Models in Visual Decipherment for Pictographic Oracle Bone Characters OracleSage: Towards Unified Visual-Linguistic Understanding of Oracle Bone Scripts through Cross-Modal Knowledge Fusion

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-05T05:02:23.781442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23b68baf-16d7-4b07-b4be-a3cbf9b573b9 · outbound

This paper cites Visual instruction tuning,.

PictOBI-20k: Unveiling Large Multimodal Models in Visual Decipherment for Pictographic Oracle Bone Characters Visual instruction tuning,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:02:24.150428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation bfcddee9-43e0-44f2-b8dc-01f077853454 · outbound

This paper cites An open dataset for oracle bone script recognition and decipherment.

PictOBI-20k: Unveiling Large Multimodal Models in Visual Decipherment for Pictographic Oracle Bone Characters An open dataset for oracle bone script recognition and decipherment

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T05:02:23.791731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b041fc08-6599-40d7-abb1-13026837dc01 · outbound

This paper cites Unsupervised structure-texture sepa- ration network for oracle character recognition,.

PictOBI-20k: Unveiling Large Multimodal Models in Visual Decipherment for Pictographic Oracle Bone Characters Unsupervised structure-texture sepa- ration network for oracle character recognition,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:02:24.133071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 678cddde-ae49-4643-8a7f-6541c1ba6c2f · outbound

This paper cites Obi dataset for ijdh and obi recognition application,.

PictOBI-20k: Unveiling Large Multimodal Models in Visual Decipherment for Pictographic Oracle Bone Characters Obi dataset for ijdh and obi recognition application,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:02:24.117135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 6ace1394-c197-42c8-a0c6-65acd0954553 · outbound

This paper cites InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models.

PictOBI-20k: Unveiling Large Multimodal Models in Visual Decipherment for Pictographic Oracle Bone Characters InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-05T05:02:23.807315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db4f2ae1-7184-47fd-8352-468f01ff091c · outbound

This paper cites Hidden in plain sight: VLMs overlook their visual representations.

PictOBI-20k: Unveiling Large Multimodal Models in Visual Decipherment for Pictographic Oracle Bone Characters Hidden in plain sight: VLMs overlook their visual representations

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-05T05:02:23.812923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6fdf966e-a861-42cc-baf1-3e60d77d209c · outbound

This paper cites Dinov2: Learning robust visual fea- tures without supervision,.

PictOBI-20k: Unveiling Large Multimodal Models in Visual Decipherment for Pictographic Oracle Bone Characters Dinov2: Learning robust visual fea- tures without supervision,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:02:24.099547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 01991cf5-3ad6-46e9-860a-58eec4a4e520 · outbound

This paper cites Introducing claude 4,.

PictOBI-20k: Unveiling Large Multimodal Models in Visual Decipherment for Pictographic Oracle Bone Characters Introducing claude 4,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:02:24.084119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 1943cb1c-fe3d-4e15-bc06-7c2a447403b7 · outbound

This paper cites GLM-4.5V and GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning.

PictOBI-20k: Unveiling Large Multimodal Models in Visual Decipherment for Pictographic Oracle Bone Characters GLM-4.5V and GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-05T05:02:23.832446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2113f9d6-7339-40f6-b98d-b18ba18c2da5 · outbound

This paper cites Gemini 2.5: Updates to our family of thinking mod- els,.

PictOBI-20k: Unveiling Large Multimodal Models in Visual Decipherment for Pictographic Oracle Bone Characters Gemini 2.5: Updates to our family of thinking mod- els,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:02:24.066765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0878a9de-c016-42c2-bc2d-b1f6b2efa25f · outbound

This paper cites Just Noticeable Difference for Large Multimodal Models.

PictOBI-20k: Unveiling Large Multimodal Models in Visual Decipherment for Pictographic Oracle Bone Characters Just Noticeable Difference for Large Multimodal Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-05T05:02:23.843390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 26792f3e-fcc2-436c-8dda-7f523e959d67 · inbound