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Paper Citation Record · LEDGER

VALOR: Vision-Audio-Language Omni-Perception Pretraining Model and Dataset

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2304.08345.

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

pith.paper-citation-record.v1
2304.08345 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:24:42.615904Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T06:39:37.583391Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 875e6e67-3a47-4203-818f-5958c8b8cda0 · inbound

InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation cites this paper.

InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation VALOR: Vision-Audio-Language Omni-Perception Pretraining Model and Dataset

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-15T06:30:22.630119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T06:30:22.431538Z digest=sha256:058490d5a1c0060514c4825e18d511a14158499b4162bb798213fe4b130a2617

Observation c1994358-d629-48b1-a0c1-86163873df96 · inbound

LanguageBind: Extending Video-Language Pretraining to N-modality by Language-based Semantic Alignment cites this paper.

LanguageBind: Extending Video-Language Pretraining to N-modality by Language-based Semantic Alignment VALOR: Vision-Audio-Language Omni-Perception Pretraining Model and Dataset

Reference 200

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T03:27:59.093708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-17T03:27:58.952076Z digest=sha256:1550efa15643a85385d79dff629b3e17c71a986d109e7d51f000eb7f98506c9c

Observation fe5453a5-f02f-4f25-a966-97e60dd00d53 · inbound

CAT-SG: A Large Dynamic Scene Graph Dataset for Fine-Grained Understanding of Cataract Surgery cites this paper.

CAT-SG: A Large Dynamic Scene Graph Dataset for Fine-Grained Understanding of Cataract Surgery VALOR: Vision-Audio-Language Omni-Perception Pretraining Model and Dataset

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T22:24:42.615904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:24:42.615904Z digest=sha256:2b0e202d1105cb341a3790cb96a3afb3c02077edc473dc2252c32e5069817575

Observation df335657-6a11-42a5-8171-dcba49c06131 · inbound

From Vision To Language through Graph of Events in Space and Time: An Explainable Self-supervised Approach cites this paper.

From Vision To Language through Graph of Events in Space and Time: An Explainable Self-supervised Approach VALOR: Vision-Audio-Language Omni-Perception Pretraining Model and Dataset

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T19:43:43.140301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:43:43.140301Z digest=sha256:23b336f4380d58a030b88701e9ff78e58f7b2509cc2ade9c3d013289e2275272

Observation 9eacc5aa-1288-437f-a5f3-2e665af6c317 · inbound

Open-set Cross Modal Generalization via Multimodal Unified Representation cites this paper.

Open-set Cross Modal Generalization via Multimodal Unified Representation VALOR: Vision-Audio-Language Omni-Perception Pretraining Model and Dataset

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T15:48:26.258804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:48:26.258804Z digest=sha256:4545944fd782323094405b9e532fb779a7ba721ba2aed2c2fcf801d1ecae914c

Observation 11881ef3-6e01-4b89-afc7-d619f895c333 · inbound

AV-Master: Dual-Path Comprehensive Perception Makes Better Audio-Visual Question Answering cites this paper.

AV-Master: Dual-Path Comprehensive Perception Makes Better Audio-Visual Question Answering VALOR: Vision-Audio-Language Omni-Perception Pretraining Model and Dataset

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-18T05:30:55.418387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T05:26:07.722390Z digest=sha256:63d872e707f9896cfcc448d50a87fbc9e073edb72e00137cb3a95b63a1a34c3f

Observation 3306a6f6-bbbf-465c-af98-662b5806ab75 · inbound

AV-Master: Dual-Path Comprehensive Perception Makes Better Audio-Visual Question Answering cites this paper.

AV-Master: Dual-Path Comprehensive Perception Makes Better Audio-Visual Question Answering VALOR: Vision-Audio-Language Omni-Perception Pretraining Model and Dataset

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-04T08:55:25.662314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:55:25.662314Z digest=sha256:e82fd554b13a63bbea09e70f3ab02881016d9af035173786cca93c8260de007a

Observation 5dcaafb1-e84d-4b69-b176-9a7ecf78c673 · inbound

Calibrated Multimodal Representation Learning with Missing Modalities cites this paper.

Calibrated Multimodal Representation Learning with Missing Modalities VALOR: Vision-Audio-Language Omni-Perception Pretraining Model and Dataset

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-17T22:10:22.674286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-17T22:08:07.217659Z digest=sha256:efba958e1cb803e497a8a38bd2e812ddc1d24575d5f23df1fd76d1b247b38475

Observation 781bc5ea-4cc7-4df0-a8a2-625cdf1dd5eb · inbound

The More, the Merrier: Contrastive Fusion for Higher-Order Multimodal Alignment cites this paper.

The More, the Merrier: Contrastive Fusion for Higher-Order Multimodal Alignment VALOR: Vision-Audio-Language Omni-Perception Pretraining Model and Dataset

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-17T05:04:03.304830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-17T05:03:49.279871Z digest=sha256:1d208e0159ab7180cbdab2d1f2d17206553e97dec06443b076840a56ca4c180b

Observation faba092f-8f2e-4d0f-a247-3ac591ac731b · inbound

EchoingPixels: Aliasing-Resistant Joint Token Reduction for Audio-Visual LLMs cites this paper.

EchoingPixels: Aliasing-Resistant Joint Token Reduction for Audio-Visual LLMs VALOR: Vision-Audio-Language Omni-Perception Pretraining Model and Dataset

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-03T17:16:36.862898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T17:16:36.862898Z digest=sha256:485e2609e5e54f68d50304e2f5f22ffd095142022f2a4df7dba8be18ed2390b6

Observation daa03dbe-3f87-4a20-9165-9cdefb5e66bf · inbound

A Benchmark for Omni-Modal Reasoning in Long Videos cites this paper.

A Benchmark for Omni-Modal Reasoning in Long Videos VALOR: Vision-Audio-Language Omni-Perception Pretraining Model and Dataset

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-03T15:26:12.988303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:26:12.988303Z digest=sha256:59f6707f4a7ce00defa1a5855132f578f8248b4460505281048d5e481a90b558

Observation 9add115e-12de-41ea-b991-e34a409d30f9 · inbound

Don't Let the Video Speak: Audio-Contrastive Preference Optimization for Audio-Visual Language Models cites this paper.

Don't Let the Video Speak: Audio-Contrastive Preference Optimization for Audio-Visual Language Models VALOR: Vision-Audio-Language Omni-Perception Pretraining Model and Dataset

Reference 32

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T14:00:29.030971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T13:57:47.356373Z digest=sha256:d2d498384c3b4c017e1fc905a02b9d0b39f77a6b63077bf82936458babf80de7

Observation 6519411a-63bd-4cfa-937e-b3dceaf101f2 · inbound

InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning cites this paper.

InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning VALOR: Vision-Audio-Language Omni-Perception Pretraining Model and Dataset

Reference 216

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T10:48:03.123950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-27T09:48:27.652901Z digest=sha256:2de0b0225f89aacad95535adf21639808a5efd58b70594ed927533ee7cc9df8f

Observation cb6e2523-d51b-460a-b451-ff43e32fb131 · inbound

HPP: Hierarchical Programmatic Probing for Long Video Understanding by Decoupling Perception and Reasoning cites this paper.

HPP: Hierarchical Programmatic Probing for Long Video Understanding by Decoupling Perception and Reasoning VALOR: Vision-Audio-Language Omni-Perception Pretraining Model and Dataset

Reference 299

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T06:39:37.584884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-26T14:19:53.450263Z digest=sha256:5b664b824b92eac8ad5517c2dd1dc200642da087b87a6cb8baeb3f984fb5419e

Observation 018b58cc-c35a-49bc-acd4-6ad7c7afb02a · inbound

Empowering Long-form Omni-modal Understanding with Robust Audio Perception cites this paper.

Empowering Long-form Omni-modal Understanding with Robust Audio Perception VALOR: Vision-Audio-Language Omni-Perception Pretraining Model and Dataset

Reference 5

Resolution
unresolved
no resolver link, observed 2026-07-14T12:48:58.688011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T12:48:58.688011Z digest=sha256:d6e1ad84911edf0d91cbd85d85555e13585a8629928347c5484bdf33b7000a7e