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Paper Citation Record · LEDGER

Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2004.06165.

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

pith.paper-citation-record.v1
2004.06165 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:12:08.651989Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-10T06:15:00.866473Z

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 5d658a5c-0910-4615-b36b-41f0d42c5839 · inbound

RPN 2: On Interdependence Function Learning Towards Unifying and Advancing CNN, RNN, GNN, and Transformer cites this paper.

RPN 2: On Interdependence Function Learning Towards Unifying and Advancing CNN, RNN, GNN, and Transformer Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-12T18:56:47.992851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:56:47.992851Z digest=sha256:0d1792b882ba68275e03644cc2344fe3f9c42f6688ddfd395eb277367a0345c2

Observation fd13970e-17f6-4ac2-becd-daad3b68fff5 · inbound

ViPCap: Retrieval Text-Based Visual Prompts for Lightweight Image Captioning cites this paper.

ViPCap: Retrieval Text-Based Visual Prompts for Lightweight Image Captioning Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-11T00:47:52.434115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:47:52.434115Z digest=sha256:46f3a27b8f1252af9c8849a9456008799094d7440cbd749cebf4585c378ae6a2

Observation 0fa7c831-e022-4d76-9742-1d940667893e · inbound

Decoding the Multimodal Maze: A Systematic Review on the Adoption of Explainability in Multimodal Attention-based Models cites this paper.

Decoding the Multimodal Maze: A Systematic Review on the Adoption of Explainability in Multimodal Attention-based Models Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-05-19T00:36:55.776764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-19T00:34:38.247099Z digest=sha256:f4c43a393277cc09b12e01451e78e5e84984a41828e264219326e31c963fc723

Observation 409c1e76-26e8-4e71-a914-790edc1896c8 · inbound

Decoding the Multimodal Maze: A Systematic Review on the Adoption of Explainability in Multimodal Attention-based Models cites this paper.

Decoding the Multimodal Maze: A Systematic Review on the Adoption of Explainability in Multimodal Attention-based Models Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-06T00:02:58.745662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:02:58.745662Z digest=sha256:84cacbabf9021da9169d3c7e89ea112202d2d9c1511b956a29626491fb23ede0

Observation 3c011e3b-6dd6-449e-934c-e63de9153502 · inbound

MASCOT: Model-Aware Submodular Coverage for Composite-Attribute Text-to-Image Retrieval cites this paper.

MASCOT: Model-Aware Submodular Coverage for Composite-Attribute Text-to-Image Retrieval Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-16T00:12:08.651989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:12:08.651989Z digest=sha256:319a7dbc0d8ec6e589f65c21a4614cc460f95e12cda1e11e8374338b95b0f9e5