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Paper Citation Record · LEDGER

Prismer: A Vision-Language Model with Multi-Task Experts

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2303.02506.

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

pith.paper-citation-record.v1
2303.02506 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T18:51:10.428909Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

15
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 94326dd0-2b80-426e-8e4d-8ecbdd6a7611 · inbound

Otter: A Multi-Modal Model with In-Context Instruction Tuning cites this paper.

Otter: A Multi-Modal Model with In-Context Instruction Tuning Prismer: A Vision-Language Model with Multi-Task Experts

Reference 58

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T02:43:47.898771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-15T02:43:47.775691Z digest=sha256:577ae0b6499d0056fb542d7ca5e5fddc7f2806a5ffe361fe8767c842ed72ac79

Observation 35b9c848-540c-454a-950c-ebfc3f087c63 · inbound

Voyager: An Open-Ended Embodied Agent with Large Language Models cites this paper.

Voyager: An Open-Ended Embodied Agent with Large Language Models Prismer: A Vision-Language Model with Multi-Task Experts

Reference 58

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T13:11:41.187402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T13:11:40.995345Z digest=sha256:5092f0e06437629c717235385bffa5026caadc8d9ccfbb487dc8f61eb5f57211

Observation f2c9e17b-e20e-4a6f-ae62-8c8ea8313591 · inbound

Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution cites this paper.

Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution Prismer: A Vision-Language Model with Multi-Task Experts

Reference 213

Resolution
verified exact
arxiv_id, observed 2026-05-16T08:12:35.202921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-16T08:12:30.984870Z digest=sha256:8f41803ed8fae09aa93b11d35e11943267657d746ec7ca8a8c235e2c4c8043da

Observation da9ffbd5-379e-4e7d-bd97-b5a39e506ed9 · inbound

CogVLM: Visual Expert for Pretrained Language Models cites this paper.

CogVLM: Visual Expert for Pretrained Language Models Prismer: A Vision-Language Model with Multi-Task Experts

Reference 15

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T15:46:06.492169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-15T15:46:06.334088Z digest=sha256:15b699e1ca390ff469cbb61539323854ba1e380b8714f21c10707d49392a2720

Observation cbe8465b-666e-4474-959d-90bd695456de · inbound

VisCon-100K: Leveraging Contextual Web Data for Fine-tuning Vision Language Models cites this paper.

VisCon-100K: Leveraging Contextual Web Data for Fine-tuning Vision Language Models Prismer: A Vision-Language Model with Multi-Task Experts

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T18:51:10.428909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T18:51:10.428909Z digest=sha256:45ddc5ca1e148daf6f100a83afd739c70ede6e69faa6f41499cc68688bcd7cb1

Observation e9b9b89d-4508-462d-80ed-2c3b2ab5c80e · inbound

Towards Multimodal Understanding via Stable Diffusion as a Task-Aware Feature Extractor cites this paper.

Towards Multimodal Understanding via Stable Diffusion as a Task-Aware Feature Extractor Prismer: A Vision-Language Model with Multi-Task Experts

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T18:52:32.060515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:52:32.060515Z digest=sha256:77b6abfa6f6f83fa86c772cda6045c5eea6597c3b890a6e5ab865396be9c383c