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Paper Citation Record · LEDGER

GroundingGPT:Language Enhanced Multi-modal Grounding Model

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2401.06071.

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

pith.paper-citation-record.v1
2401.06071 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:50:05.707838Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T15:09:55.080073Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • 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 3ca8b1aa-90ba-405f-be7c-d9c6e6b4a20a · inbound

Improving the Reasoning of Multi-Image Grounding in MLLMs via Reinforcement Learning cites this paper.

Improving the Reasoning of Multi-Image Grounding in MLLMs via Reinforcement Learning GroundingGPT:Language Enhanced Multi-modal Grounding Model

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-19T06:52:08.048336Z

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=2026-05-19T06:50:02.607136Z digest=sha256:5a471a407db92d73cd33d26c8398c87e017b05c8e12c1dff041c8f619b84c978

Observation 7b59254b-d862-46ce-b065-c05fb0b57cd9 · inbound

Grounded Gesture Generation: Language, Motion, and Space cites this paper.

Grounded Gesture Generation: Language, Motion, and Space GroundingGPT:Language Enhanced Multi-modal Grounding Model

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T19:50:05.707838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:50:05.707838Z digest=sha256:9d3265df8fe01de74dfef7933358d20b54b969bc5097e0b02e904025fb8a390e

Observation 9871138c-18d8-4817-bdbf-69dc38409ff6 · inbound

ReMeREC: Relation-aware and Multi-entity Referring Expression Comprehension cites this paper.

ReMeREC: Relation-aware and Multi-entity Referring Expression Comprehension GroundingGPT:Language Enhanced Multi-modal Grounding Model

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T15:16:23.645611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:16:23.645611Z digest=sha256:3ccfc17bebbdd8e36098e98ad0b490137ef0ef6f07f2d81021c776c06ab52e91

Observation 6149dfaf-44e7-4ebe-91ac-a649344baf6b · inbound

IntentVCNet: Bridging Spatio-Temporal Gaps for Intention-Oriented Controllable Video Captioning cites this paper.

IntentVCNet: Bridging Spatio-Temporal Gaps for Intention-Oriented Controllable Video Captioning GroundingGPT:Language Enhanced Multi-modal Grounding Model

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T14:36:28.980544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:36:28.980544Z digest=sha256:01bf113d2b244cd4e62735931346f6b73ab4550ae7649fe194b9a35c485f2573

Observation 1a3c96a9-3833-424e-9c10-bbe1ecb46b2d · inbound

KnowDR-REC: A Benchmark for Referring Expression Comprehension with Real-World Knowledge cites this paper.

KnowDR-REC: A Benchmark for Referring Expression Comprehension with Real-World Knowledge GroundingGPT:Language Enhanced Multi-modal Grounding Model

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-05T21:11:51.139146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T21:11:51.139146Z digest=sha256:8b3637e437375b997f29c43c8306a1b9fbb9f1fd9ba0aab7b6cdb34ca0a6c8c5

Observation 61d11a63-b771-45c9-946d-e869eb9d780e · inbound

Video Understanding by Design: How Datasets Shape Video Models cites this paper.

Video Understanding by Design: How Datasets Shape Video Models GroundingGPT:Language Enhanced Multi-modal Grounding Model

Reference 249

Resolution
unresolved
no resolver link, observed 2026-08-04T19:37:42.251368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:37:42.251368Z digest=sha256:16dd531957938e45b88b4225d44ba3cda7147eaa45f8f7f7ce2fa371502b5a6e

Observation 2b8c1b47-2992-4ede-99ee-0329898dec86 · inbound

Encode Once, Decode Never: Reusing Audio LM Internals for Efficient Temporal Localization cites this paper.

Encode Once, Decode Never: Reusing Audio LM Internals for Efficient Temporal Localization GroundingGPT:Language Enhanced Multi-modal Grounding Model

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-03T01:17:47.065638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T01:17:47.065638Z digest=sha256:3476a9a4e1aa1fb2763d6f83d24b42cb17bc4ebf850b8aebf1b26a11af72504a

Observation b5191aed-f75e-4845-afc1-82b81ca4610d · inbound

From Structure to Synergy: A Survey of Vision-Language Perception Paradigm Evolution in Multimodal Large Language Models cites this paper.

From Structure to Synergy: A Survey of Vision-Language Perception Paradigm Evolution in Multimodal Large Language Models GroundingGPT:Language Enhanced Multi-modal Grounding Model

Reference 157

Resolution
verified exact
arxiv_id, observed 2026-07-04T15:09:55.081820Z

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=2026-06-26T01:50:54.242508Z digest=sha256:6dbb354a9ec0c310df2c6b508ce0563921b4425fec48b4a99a8e7ba52a7552b9

Observation 8b22c4a7-72f1-463e-92b9-91554591db82 · inbound

DART: Difficulty-Adaptive Routing for Zero-Shot Video Temporal Grounding cites this paper.

DART: Difficulty-Adaptive Routing for Zero-Shot Video Temporal Grounding GroundingGPT:Language Enhanced Multi-modal Grounding Model

Reference 34

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T14:37:03.225012Z

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=2026-07-02T14:27:15.302565Z digest=sha256:583569388d662d1a4b88ffa61dee01d4a817485220fb263e8020b52ca129cc76

Observation 5aa2aea9-8e4c-4430-bfd1-916b284a0fdc · inbound

Teaching MLLMs to Say No: Generalized Referring Expression Comprehension via Refusal Calibrated GRPO cites this paper.

Teaching MLLMs to Say No: Generalized Referring Expression Comprehension via Refusal Calibrated GRPO GroundingGPT:Language Enhanced Multi-modal Grounding Model

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-06T18:44:46.218287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:44:46.218287Z digest=sha256:6d49548a39e7046236290f41a205ebf2eccd45e0903994bf2a973594468b3a5d