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Paper Citation Record · LEDGER

A Stitch in Time Saves Nine: Small VLM is a Precise Guidance for Accelerating Large VLMs

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2412.03324.

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

pith.paper-citation-record.v1
2412.03324 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:03:03.547382Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T00:02:17.832612Z

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 21413577-52f0-4762-ac3a-89d7f774f25d · inbound

Growing a Multi-head Twig via Distillation and Reinforcement Learning to Accelerate Large Vision-Language Models cites this paper.

Growing a Multi-head Twig via Distillation and Reinforcement Learning to Accelerate Large Vision-Language Models A Stitch in Time Saves Nine: Small VLM is a Precise Guidance for Accelerating Large VLMs

Reference 69

Resolution
verified exact
arxiv_id, observed 2026-05-23T00:02:17.835408Z

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=2026-05-22T23:58:57.819555Z digest=sha256:ff2e921e27440c4738d73440643dfed5e02004ce794c2439d1d6bad861d57999

Observation bded14ac-604b-402d-8a64-1dfa3143d598 · inbound

Fast3D: Accelerating 3D Multi-modal Large Language Models for Efficient 3D Scene Understanding cites this paper.

Fast3D: Accelerating 3D Multi-modal Large Language Models for Efficient 3D Scene Understanding A Stitch in Time Saves Nine: Small VLM is a Precise Guidance for Accelerating Large VLMs

Reference 89

Resolution
unresolved
no resolver link, observed 2026-08-06T18:03:03.547382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:03:03.547382Z digest=sha256:3f9eb7491e6c82a17c9f73c84ee056479ba54b619f2334c857e46e6bc7eaf006

Observation 40c8c8cd-cadc-47ae-af50-4b537eae3337 · inbound

SeqVLM: Proposal-Guided Multi-View Sequences Reasoning via VLM for Zero-Shot 3D Visual Grounding cites this paper.

SeqVLM: Proposal-Guided Multi-View Sequences Reasoning via VLM for Zero-Shot 3D Visual Grounding A Stitch in Time Saves Nine: Small VLM is a Precise Guidance for Accelerating Large VLMs

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-05T14:52:56.639839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:52:56.639839Z digest=sha256:54ea85f80cc2c122a7e4421c5761935a7024bddf610da8895c95cca4b7797a69

Observation 69f62ef9-cb4b-4adc-950e-d49c7a52aed6 · inbound

CARES: Context-Aware Resolution Selector for VLMs cites this paper.

CARES: Context-Aware Resolution Selector for VLMs A Stitch in Time Saves Nine: Small VLM is a Precise Guidance for Accelerating Large VLMs

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-04T08:44:42.492230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:44:42.492230Z digest=sha256:29f032d63d5301fa4ca8231a5ef33ad16898a27ae737b89886e50c4dee4b1ff5