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Paper Citation Record · LEDGER

Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models

As of 15 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 1 inbound Pith citation observation for arXiv:2412.05939.

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

pith.paper-citation-record.v1
2412.05939 v1

Coverage vector

measured 62 of 62 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:14:56.957808Z

measured 63 of 63 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:08:49.205080Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T04:08:53.251034Z

Reference resolution

62 of 62 outbound references displayed

  • verified exact0
  • verified fuzzy23
  • unresolved37
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 86f25a70-1968-4825-9dae-671de663f430 · outbound

This paper cites For V3Det, we remove object labels with frequency less than 3.

Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models For V3Det, we remove object labels with frequency less than 3

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:14:58.002749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T20:14:56.626495Z digest=sha256:5c49680950228509f163f9a82e6bb2a870dc716e21be921e543ed44fdf683b80

Observation a5cad1f9-2016-4227-a1f4-9f34a0e70bbc · outbound

This paper cites For Open Images, we also remove the attribute and relationship annotations corresponding to these illegal objects.

Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models For Open Images, we also remove the attribute and relationship annotations corresponding to these illegal objects

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:14:57.988782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T20:14:56.632723Z digest=sha256:c620acc869b58a41886da203b190c1e42bd0ef5fafc8c871c0202731bd8d9f06

Observation f9b63835-85f7-4e18-920c-2878327796c7 · outbound

This paper cites an unresolved cited work.

Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-11T20:14:57.974477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T20:14:56.638144Z digest=sha256:8b36c18b1431cef8c8b5030cf17c1ee78c48ffe07e2c9da74a588f8f33a07229

Observation e0b271e5-88d5-4254-9a0a-9dc682c5aaca · outbound

This paper cites an unresolved cited work.

Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-11T20:14:57.908428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T20:14:56.655461Z digest=sha256:4c698c0eaf4c4bc5d33d233d38bec852d569b61c614521bb9831d1b7cad09935

Observation 0155ab72-192d-4ae9-bf5c-69e738d3b83b · outbound

This paper cites Kosmos-G: Generating Images in Context with Multimodal Large Language Models.

Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models Kosmos-G: Generating Images in Context with Multimodal Large Language Models

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-11T20:14:56.594042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:14:56.594042Z digest=sha256:5e27201d66cfe0e0580630bc4d86ec00d891fa8c6e112cc1f16f5b856575e77b

Observation 45c5c501-d04e-4eed-9241-6db4752e7282 · outbound

This paper cites Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V.

Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-11T20:14:56.599821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:14:56.599821Z digest=sha256:e666ddc1440f0acd6252daba497d73d1b70470952e9ebbec9092e956a40d6f65

Observation a92aea54-cee4-49cf-a20e-bbf5f78850c7 · outbound

This paper cites VL-GPT: A Generative Pre-trained Transformer for Vision and Language Understanding and Generation.

Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models VL-GPT: A Generative Pre-trained Transformer for Vision and Language Understanding and Generation

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-11T20:14:56.605430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:14:56.605430Z digest=sha256:429ab87d249b8b529ab721420f7d6d789b76c6d6dac71282f448b33c17efad98

Observation 4221501a-1918-4bea-8614-57970eebe879 · outbound

This paper cites Instance Location, Instance Interaction, Visual Reasoning.

Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models Instance Location, Instance Interaction, Visual Reasoning

Reference 8

Resolution
malformed identifier
raw_fallback, observed 2026-08-11T20:14:58.046685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T20:14:56.610955Z digest=sha256:dde4585707ad4207996a696d95c1f03860c291b35a28b45fc570d5fef13d62a9

Observation ac2d4aa7-6bb6-479f-bea7-641b89a52f69 · outbound

This paper cites batter” → “batter (ballplayer).

Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models batter” → “batter (ballplayer)

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:14:58.016480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T20:14:56.621196Z digest=sha256:54d214c02b05b9a8af818b426cc1895ca6f65d41040309fccfa948768b33029b

Observation c0873608-b736-45ac-9afd-fb45da685f55 · outbound

This paper cites an unresolved cited work.

Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-11T20:14:57.953908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T20:14:56.642335Z digest=sha256:ad3a8071bc09f84e70e67f75b7bb5e16ee4e88362ec3b490d412e24841b856f5

Observation c5a1cfe8-9b7e-4f10-a233-42a0a8ddadce · outbound

This paper cites We also remove objects that have illegal coordinates or exceed the image range.

Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models We also remove objects that have illegal coordinates or exceed the image range

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:14:57.939375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T20:14:56.646214Z digest=sha256:563d2dcd5f14122418d2c8e29048de314561d90df483b15001f654d4b15617db

Observation c7945383-35f1-401b-b4da-ad271d5fc579 · outbound

This paper cites batter (baseball player).

Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models batter (baseball player)

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:14:57.924134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T20:14:56.650250Z digest=sha256:e0f912e9592f8a4d16c126cfcd6152c13acde565810c5edd888281d39de9b6fc

Observation 8d579735-5c71-4d73-84fc-8c55deca54ee · outbound

This paper cites Secondly, we count the frequency of each label and remove the relationship/attribute whose frequency is less than 5 or is empty.

Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models Secondly, we count the frequency of each label and remove the relationship/attribute whose frequency is less than 5 or is empty

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:14:57.893528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T20:14:56.660626Z digest=sha256:7396b11cdb10be6b6dda3c6c7c75fa774b87610d0639beec97c730b4d3168e4b

Observation f226edde-00bf-43a5-aff0-97bc67061d68 · outbound

This paper cites For unreasonable labels, we remove them and the corresponding object, attribute, relationship annotations.

Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models For unreasonable labels, we remove them and the corresponding object, attribute, relationship annotations

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:14:57.878193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T20:14:56.665028Z digest=sha256:87c89a465a4e7d2e6ee2fb38e4e6eeffac7f63830b706625704595f3003c5bb2

Observation 721bb45c-afd5-4a19-aff7-7a214836a14a · outbound

This paper cites For images in Visual Genome with a flickr id but no coco id, we match them with images from flickr30k and discard the matched images.

Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models For images in Visual Genome with a flickr id but no coco id, we match them with images from flickr30k and discard the matched images

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:14:57.863808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T20:14:56.669674Z digest=sha256:1a7ec0e00549ace6178aa7549fcb9269d54b3e1fd863915b2b247d33211b0994

Observation 7e644ff2-037f-45e2-aab5-90bd5ef6d20b · outbound

This paper cites an unresolved cited work.

Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-11T20:14:57.850058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T20:14:56.674257Z digest=sha256:06959e108b0adda6d59b9538e77dc5ccb196ab8fb10b6cc2673ff2cc1a0cfef2

Observation b269db73-6e28-47a0-8c7f-f8e7e69c1a18 · outbound

This paper cites an unresolved cited work.

Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-11T20:14:57.835356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T20:14:56.678937Z digest=sha256:b85957cec393e9e7df9e9fab21a7a787bb5c2bc448e679f60e8373cf577ac8cc

Observation 09ea4dcf-48be-4e8f-a650-148acc8c3fbc · outbound

This paper cites an unresolved cited work.

Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-11T20:14:57.821104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T20:14:56.683239Z digest=sha256:ba8937822729614e9ba7cb453f0140f109aac4f6727869a2551a384f10a91e8c

Observation 8a654fef-8175-49e6-8b7a-aec90030e681 · outbound

This paper cites If no caption is selected, we select the caption with the highest similarity score.

Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models If no caption is selected, we select the caption with the highest similarity score

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:14:57.806754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T20:14:56.688145Z digest=sha256:2d7d4a7c7f0ef45d06c0334e655a907d8727325ac55ee9d4d2022fb0daeb138b

Observation 06726344-e681-4c39-93f0-09151dad2b41 · outbound

This paper cites an unresolved cited work.

Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-11T20:14:57.792486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T20:14:56.693243Z digest=sha256:a9270088839c3cac8078cbbbddd61292aeba95693560f99e7a1cba8013d0e9cc

Observation a0564405-1a01-46bb-853f-e2c80319cc88 · outbound

This paper cites Then we remove the descriptions with a probability of 0.5 to prevent model overfitting which might be caused by description repetitions.

Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models Then we remove the descriptions with a probability of 0.5 to prevent model overfitting which might be caused by description repetitions

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:14:57.778372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T20:14:56.698176Z digest=sha256:efa6ead8810429e2b48af7aea3aac8d3963623f81d6cba54e99f7870888b35a8

Observation 43fd7009-d5be-4af5-97a4-1059c595e0fe · outbound

This paper cites Secondly, we replace the positions corresponding to [IMG] using the corresponding visual token sequence with [IMG] and [/IMG] inserted before and after it.

Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models Secondly, we replace the positions corresponding to [IMG] using the corresponding visual token sequence with [IMG] and [/IMG] inserted before and after it

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:14:57.763406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T20:14:56.702653Z digest=sha256:c29e98d2b871cc5bdbb0d35bab4e1354667cb1f87fb3abe14bb90253e6a3b929

Observation 3de25e1a-7e59-4147-9c2f-b1c700c67a68 · outbound

This paper cites Detail caption instruction.

Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models Detail caption instruction

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:14:57.749184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T20:14:56.707352Z digest=sha256:f7f07cda95ec8ffd3679053d33d7bb73ea07ce4920d339d431b88ef1e2023bf8

Observation b691cb9d-7568-48f6-b98e-4aa16fd688c0 · outbound

This paper cites It resembles a large pig in shape, with a short, prehensile trunk, small eyes, and pointed ears.

Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models It resembles a large pig in shape, with a short, prehensile trunk, small eyes, and pointed ears

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:14:57.620847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T20:14:56.749625Z digest=sha256:171e90123c85a78d96ff573dcb1832d692519c0945eedda867bf0e52fdd4fbad

Observation 0519d2f5-0252-4ab0-a65f-d3e0211374c9 · outbound

This paper cites an unresolved cited work.

Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-11T20:14:57.486201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T20:14:56.786990Z digest=sha256:6808a6a023e302ec5acccb4090d85ae993f28562a1eed13ae59d931c6f2f9732

Observation 2d961eb4-017f-44ab-a950-fcad9217b560 · outbound

This paper cites an unresolved cited work.

Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-11T20:14:57.469457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T20:14:56.791904Z digest=sha256:82da97ecf7202a293ac10f4749f97769255203d7307d58c1eff731e2a87e96b6

Observation a51a9a2f-4dcd-4008-8ed2-79b2804f6a91 · outbound

This paper cites Invalid.

Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models Invalid

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:14:57.358898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T20:14:56.827982Z digest=sha256:c3d282d2ddc53df0c2f5b996ac276f715f07a2b3ab0d812965ea68e9ba5445e6

Observation affb92a0-1eff-4e38-8e0f-e2cc83875be5 · outbound

This paper cites an unresolved cited work.

Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-08-11T20:14:57.736201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T20:14:56.832495Z digest=sha256:71c0ed4cd853e034390b4fd9bfafef57f1182b3a95df93279a823de01eb5e8f6

Observation 75b02bc5-aa7e-47dc-b5d7-cad946c8eb48 · outbound

This paper cites bank" can be.

Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models bank" can be

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:14:57.722923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T20:14:56.837073Z digest=sha256:cd694e33d75ef62adbdcbe3097108b544d500f3398fca91b8e6db95a221581b8

Observation a0339240-6c81-40bc-87cd-de5c3b242f34 · outbound

This paper cites an unresolved cited work.

Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models Unresolved cited work

Reference 58

Resolution
unresolved
raw_fallback, observed 2026-08-11T20:14:57.709287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T20:14:56.841342Z digest=sha256:ecee8861f846e4cf84a6557c397603c0b6d400078aae347c4cdb7a5fe5f0f219

Observation 281220d6-3bd4-4e0d-a4bb-9feb09e8a820 · outbound

This paper cites an unresolved cited work.

Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models Unresolved cited work

Reference 59

Resolution
unresolved
raw_fallback, observed 2026-08-11T20:14:57.694632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T20:14:56.845632Z digest=sha256:cdbb666349bffdeb4ad8bd1cdf673f164eb64e732f34a14449802709829c3814

Observation 68c69e42-74df-48b6-9991-fb999ac6bdfc · outbound

This paper cites an unresolved cited work.

Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-08-11T20:14:57.679370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T20:14:56.850173Z digest=sha256:a8c6013c8ef22c0a95039ab80cb818ff95f8dd7a1bbb27d9a5298f95c5290831

Observation d650eeb7-eff4-49bc-a673-aa397f412c06 · outbound

This paper cites an unresolved cited work.

Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models Unresolved cited work

Reference 61

Resolution
unresolved
raw_fallback, observed 2026-08-11T20:14:57.664201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T20:14:56.854197Z digest=sha256:ada9c2b66357768baaaec55adee9b92ddbc3a1e31e6f9a1f28e61f79c4f6f815

Observation ce8b98ca-f938-4d59-94da-9b3563f19a93 · outbound

This paper cites an unresolved cited work.

Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models Unresolved cited work

Reference 62

Resolution
unresolved
raw_fallback, observed 2026-08-11T20:14:57.649787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T20:14:56.858331Z digest=sha256:dee3069e86b3a20fd605ad409144b1aeca1b6bec9584263c42f82804ab1ac2d9

Observation e3faae6e-4259-4b79-8b79-bd6341123dac · outbound

This paper cites an unresolved cited work.

Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models Unresolved cited work

Reference 63

Resolution
unresolved
raw_fallback, observed 2026-08-11T20:14:57.634479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T20:14:56.863353Z digest=sha256:d71d87e2b18a4f1e12ec79136d3528bb875c436c9a961f2ff991b3d6c6371463

Observation 57503e9a-58a7-45fe-9b9d-1c111516f92e · outbound

This paper cites It resembles a large pig in shape, with a short, prehensile trunk, small eyes, and pointed ears.

Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models It resembles a large pig in shape, with a short, prehensile trunk, small eyes, and pointed ears

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:14:57.344589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T20:14:56.867494Z digest=sha256:5241a71db06bd7a8cadd94d3db3707cdb402dd5b1b2a82abd6999a71d134cf67

Observation a50e25e3-dbd5-4daf-8b7b-7d60b8ac0865 · outbound

This paper cites You should disregard such noisy related object category labels.

Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models You should disregard such noisy related object category labels

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:14:57.330356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T20:14:56.872755Z digest=sha256:8e4ed51c90b6d920aeba0586cf876df9f220b75fd8cbd87a27bc30d10dcaabb1

Observation 4e59bed0-60a3-47be-8066-2563ae115bbe · outbound

This paper cites Invalid.

Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models Invalid

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:14:57.315244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T20:14:56.877645Z digest=sha256:daa3be3c001c037c5bfeabc0d3d79b528e0a5350cf5b9c536a90f1e6057fb230

Observation 1bcbf797-8b54-41ad-aa3c-f275ccc6c8c5 · outbound

This paper cites an unresolved cited work.

Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models Unresolved cited work

Reference 67

Resolution
unresolved
raw_fallback, observed 2026-08-11T20:14:57.605866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T20:14:56.881599Z digest=sha256:4c4299d41f4bd1729c5645a8d57297c72f45a0449e676d898d224a2f94974f36

Observation 944e42b5-1637-4941-ad15-4f07377809b9 · outbound

This paper cites awake" is an adjective meaning.

Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models awake" is an adjective meaning

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:14:57.589464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T20:14:56.885537Z digest=sha256:f6c5bf0351edde7d8406f664a5304cf0965af5f9ae0afe49f55082b58c502924

Observation 81bbfac1-3456-4fec-a690-53007260ab16 · outbound

This paper cites an unresolved cited work.

Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models Unresolved cited work

Reference 69

Resolution
unresolved
raw_fallback, observed 2026-08-11T20:14:57.575617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T20:14:56.889297Z digest=sha256:1037a5ce97e9931b121bec3ea1d6f1b0d6615c7cfc1da479709fa6d22399fcab

Observation 5e620f1d-68cb-497d-8c49-8a682df32f14 · outbound

This paper cites This could include color, texture, size, sense, function, or any other aspect that is significant for the attribute.

Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models This could include color, texture, size, sense, function, or any other aspect that is significant for the attribute

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:14:57.561034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T20:14:56.893166Z digest=sha256:08b7ec445aa0fc194c23475b16e403fc6c741665d9812960bfb7419506e0077c

Observation 0e570504-a0c5-42d7-a12e-e03e1e8f00d4 · outbound

This paper cites an unresolved cited work.

Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models Unresolved cited work

Reference 72

Resolution
unresolved
raw_fallback, observed 2026-08-11T20:14:57.532071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T20:14:56.900725Z digest=sha256:a3405d59f282c4213fad7bf3053d561d4831e609ff874b7d60f75a7a4a4b2fdf

Observation 655bf87d-0e9c-4998-b3ef-2405c4ffd2bf · outbound

This paper cites an unresolved cited work.

Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models Unresolved cited work

Reference 73

Resolution
unresolved
raw_fallback, observed 2026-08-11T20:14:57.516606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T20:14:56.904521Z digest=sha256:ad5ba9059baae3851d2f3e3e5ee0da717ddb00d10ae48684c385bf720ce93bf7

Observation ac8ec7ac-92ae-474e-a315-d06c74cd9b71 · outbound

This paper cites an unresolved cited work.

Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models Unresolved cited work

Reference 74

Resolution
unresolved
raw_fallback, observed 2026-08-11T20:14:57.501350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T20:14:56.908169Z digest=sha256:9163ee531c13c36a79aece66d83d3bfdaede3f378dd4d0089232046ae24310d2

Observation 5d88c803-46d2-4798-a5d0-5573a947c182 · outbound

This paper cites an unresolved cited work.

Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models Unresolved cited work

Reference 75

Resolution
unresolved
raw_fallback, observed 2026-08-11T20:14:57.298316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T20:14:56.912235Z digest=sha256:627fb3d47b0ed0dab4c992209cdc61feeba1132372b6e9a45f5057151a6d1326

Observation a355aaf7-9168-4951-a55a-2eed8ba73a3d · outbound

This paper cites You should disregard such noisy related subject-object pairs.

Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models You should disregard such noisy related subject-object pairs

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:14:57.282372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T20:14:56.916513Z digest=sha256:c8fb885c426f6e7670da040178f743128e1d8ac37e82f320bd62e326100b7b15

Observation 81f6b493-0395-430a-ac4a-19a4eb9ab7bd · outbound

This paper cites Invalid.

Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models Invalid

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:14:57.265631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T20:14:56.920376Z digest=sha256:fa5d91170e617c289931384470e7e2bad8812b2d77963921a41c909c6a9dac97

Observation cd1b12ae-76e7-44cf-94d1-bac08b549f42 · outbound

This paper cites an unresolved cited work.

Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models Unresolved cited work

Reference 78

Resolution
unresolved
raw_fallback, observed 2026-08-11T20:14:57.250378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T20:14:56.924681Z digest=sha256:989229be31e2590fc2f5893fdc93d73b6c9fbaf23d0586e7e8b416b74a5f9283

Observation b05feb79-3c19-48c9-8e92-48675d611573 · outbound

This paper cites truck" is a verb meaning.

Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models truck" is a verb meaning

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:14:57.454668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T20:14:56.928934Z digest=sha256:241068703ad5ad6e65722a1c7e76f62cfec0a629eae1c2f095f7243eec30a471

Observation 92c49432-a71a-4b07-86f6-45f57dfa5bca · outbound

This paper cites an unresolved cited work.

Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models Unresolved cited work

Reference 80

Resolution
unresolved
raw_fallback, observed 2026-08-11T20:14:57.439859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T20:14:56.932845Z digest=sha256:c0f87853a266addd764d9f278b658dc38415620011b14db6af67edacc348a8c6

Observation 4e06afea-dec1-444e-968a-31315f7b6077 · outbound

This paper cites an unresolved cited work.

Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models Unresolved cited work

Reference 81

Resolution
unresolved
raw_fallback, observed 2026-08-11T20:14:57.423276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T20:14:56.936754Z digest=sha256:135c8d423da8bca2a105fab1b8f916658015536fc48f5b4a1e71112cedf82fa5

Observation 05b88217-8654-4797-8dac-4d9ecc3f690a · outbound

This paper cites an unresolved cited work.

Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models Unresolved cited work

Reference 82

Resolution
unresolved
raw_fallback, observed 2026-08-11T20:14:57.546531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T20:14:56.940735Z digest=sha256:de186677211d9b8d133b19bac9b0385d9b87681f0dd51a5ada55159ac5fcb6c5

Observation 787e0036-dc03-4bd0-a464-17a8b200dc51 · outbound

This paper cites an unresolved cited work.

Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models Unresolved cited work

Reference 83

Resolution
unresolved
raw_fallback, observed 2026-08-11T20:14:57.407577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T20:14:56.944496Z digest=sha256:4763f2e498d1e886187e665c80d5bde0a90e5c86a2b7511a1a3c6ad8f274c004

Observation 65c93dfd-705a-4ada-8311-0dd09b613d2c · outbound

This paper cites an unresolved cited work.

Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models Unresolved cited work

Reference 84

Resolution
unresolved
raw_fallback, observed 2026-08-11T20:14:57.392523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T20:14:56.948642Z digest=sha256:579904889eab9a4b322fa83d53e2b804600944b4cc463fe8dbbf5ab66f570fb6

Observation 581a4a09-43f8-4b62-be63-e3023a6cdd1f · outbound

This paper cites an unresolved cited work.

Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models Unresolved cited work

Reference 85

Resolution
unresolved
raw_fallback, observed 2026-08-11T20:14:57.376384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T20:14:56.953924Z digest=sha256:6d7c332729d8a2ecd2a1605497840cd095858e3423cb59f34e18b4572f7f662f

Observation 46f9acb5-0418-4f93-b16d-991c0803011f · outbound

This paper cites an unresolved cited work.

Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models Unresolved cited work

Reference 86

Resolution
unresolved
raw_fallback, observed 2026-08-11T20:14:57.234613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T20:14:56.957808Z digest=sha256:4b14df6c6c289a8fcc1f3e7848cf39273bc5b2d03c0dca64f23d46451e2ed0f6

Observation 2f2a07b9-944d-48f7-a44b-67673b7d04d3 · outbound

This paper cites batter” → “batter (ballplayer).

Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models batter” → “batter (ballplayer)

Reference 2020

Resolution
malformed identifier
raw_fallback, observed 2026-08-11T20:14:58.031740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T20:14:56.616212Z digest=sha256:f23337a8ae99f65336b4ef661be73b1ad4f4b57e388316337aae2a7a6eb1ffcd

Observation bfcab0fe-e17e-4378-bde6-f566bc15f339 · outbound

This paper cites MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies.

Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-11T20:14:56.578719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:14:56.578719Z digest=sha256:8f767113f85c8e90e55152aad62222d166cb15853c627ad3fb356252ed6c6148

Observation 0818035c-79c4-4ac0-9e41-2f9af1ac53ef · outbound

This paper cites MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training.

Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-11T20:14:56.588481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:14:56.588481Z digest=sha256:009b457161fd15b17062852f6651c582398eead1f9cb57143eef1dc6ab9d66f0

Observation 0f3705c9-8c74-4031-8864-94d81dbc2805 · outbound

This paper cites Microsoft COCO Captions: Data Collection and Evaluation Server.

Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models Microsoft COCO Captions: Data Collection and Evaluation Server

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-11T20:14:56.572962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:14:56.572962Z digest=sha256:d6a0d72b43202311b144ca56c1dd6cd8272f1c5f5955b158859151a73fa08d50

Observation c98f3d26-ca9a-4f3d-bff0-47e10caeb27a · outbound

This paper cites doi: 10.1109/CVPR.2019.00686.

Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models doi: 10.1109/CVPR.2019.00686

Reference 6709

Resolution
unresolved
no resolver link, observed 2026-08-11T20:14:56.583099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:14:56.583099Z digest=sha256:d3457fbb7cb451faecf8ca3190824658580443f77723eab882b3b6af785ca436

Pith citing papers

Observation a2673b7b-bbbd-415f-820a-73268831873c · inbound

Manager: Aggregating Insights from Unimodal Experts in Two-Tower VLMs and MLLMs cites this paper.

Manager: Aggregating Insights from Unimodal Experts in Two-Tower VLMs and MLLMs Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models

Reference 110

Resolution
verified exact
local_arxiv, observed 2026-08-07T04:08:53.344399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T04:08:49.205080Z digest=sha256:fa9b9db86095d22cc6631400203ff9976eadb5eb164e02e6f1e686770497eae6