Paper Citation Record · LEDGER

X-InstructBLIP: A Framework for aligning X-Modal instruction-aware representations to LLMs and Emergent Cross-modal Reasoning

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2311.18799.

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

pith.paper-citation-record.v1
2311.18799 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T01:05:44.701187Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T08:09:41.279523Z

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 6f02d1db-a0d8-40b6-b7b2-d537c641e7b9 · inbound

VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs cites this paper.

VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs X-InstructBLIP: A Framework for aligning X-Modal instruction-aware representations to LLMs and Emergent Cross-modal Reasoning

Reference 37

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T02:44:53.605377Z

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.

Observation af7ff0c7-ffa8-4aa4-919c-5a1ac56f26e4 · inbound

Modality-Inconsistent Continual Learning of Multimodal Large Language Models cites this paper.

Modality-Inconsistent Continual Learning of Multimodal Large Language Models X-InstructBLIP: A Framework for aligning X-Modal instruction-aware representations to LLMs and Emergent Cross-modal Reasoning

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-23T06:52:40.170982Z

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.

Observation e3f1422e-6964-464e-9a20-bf4909b6da1c · inbound

VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding cites this paper.

VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding X-InstructBLIP: A Framework for aligning X-Modal instruction-aware representations to LLMs and Emergent Cross-modal Reasoning

Reference 160

Resolution: verified exact; arxiv_id, observed 2026-05-11T01:20:00.174028Z

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.

Observation cfebbb1a-da40-42bf-b345-d6b3fb941bfb · inbound

WorldSense: Evaluating Real-world Omnimodal Understanding for Multimodal LLMs cites this paper.

WorldSense: Evaluating Real-world Omnimodal Understanding for Multimodal LLMs X-InstructBLIP: A Framework for aligning X-Modal instruction-aware representations to LLMs and Emergent Cross-modal Reasoning

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-05-17T05:53:26.404419Z

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.

Observation 191b7aef-7ad7-4a45-8d33-809fc4b8aa07 · inbound

SSLAM: Enhancing Self-Supervised Models with Audio Mixtures for Polyphonic Soundscapes cites this paper.

SSLAM: Enhancing Self-Supervised Models with Audio Mixtures for Polyphonic Soundscapes X-InstructBLIP: A Framework for aligning X-Modal instruction-aware representations to LLMs and Emergent Cross-modal Reasoning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T01:05:44.701187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bee4125a-b824-4a19-a701-e96c733a7aa2 · inbound

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization cites this paper.

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization X-InstructBLIP: A Framework for aligning X-Modal instruction-aware representations to LLMs and Emergent Cross-modal Reasoning

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-05T15:18:35.610779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1fdfb7a6-5a81-47c0-a436-b1e74a46124e · inbound

Keep What Audio Cannot Say: Context-Preserving Token Pruning for Omni-LLMs cites this paper.

Keep What Audio Cannot Say: Context-Preserving Token Pruning for Omni-LLMs X-InstructBLIP: A Framework for aligning X-Modal instruction-aware representations to LLMs and Emergent Cross-modal Reasoning

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-13T02:02:06.328981Z

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.

Observation acb3a1a4-d757-4d89-a3fd-b84f2b0363c0 · inbound

Closed-Form Spectral Regularization for Multi-Task Model Merging cites this paper.

Closed-Form Spectral Regularization for Multi-Task Model Merging X-InstructBLIP: A Framework for aligning X-Modal instruction-aware representations to LLMs and Emergent Cross-modal Reasoning

Reference 97

Resolution: verified exact; arxiv_id, observed 2026-07-02T16:27:09.382888Z

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.

Observation 04d39992-225f-4a31-be9b-a27bbdc21052 · inbound

CapRiCorn-1K: A Comprehensive Benchmark for Video Captioning and Subject Referential Consistency Across Temporal Scales cites this paper.

CapRiCorn-1K: A Comprehensive Benchmark for Video Captioning and Subject Referential Consistency Across Temporal Scales X-InstructBLIP: A Framework for aligning X-Modal instruction-aware representations to LLMs and Emergent Cross-modal Reasoning

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T08:09:41.281286Z

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.