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Paper Citation Record · LEDGER

Accelerating Transducers through Adjacent Token Merging

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2306.16009.

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

pith.paper-citation-record.v1
2306.16009 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T04:02:54.445710Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T04:52:16.296575Z

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 caeab2c5-b84d-46bb-bc02-42d7dd4e50e2 · inbound

OmniRefine: Alignment-Aware Cooperative Compression for Efficient Omnimodal Large Language Models cites this paper.

OmniRefine: Alignment-Aware Cooperative Compression for Efficient Omnimodal Large Language Models Accelerating Transducers through Adjacent Token Merging

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-13T04:52:16.298115Z

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=2026-05-13T04:52:03.076788Z digest=sha256:ac469b161aecc665bae3932b9edcf064d00afe7cc9b35cfb95bf2d2b11a268f8

Observation 4285a183-db37-4176-943c-08c25b52ac1a · inbound

OmniScope: Modality-Decoupled Token Compression for Omnimodal Large Language Models cites this paper.

OmniScope: Modality-Decoupled Token Compression for Omnimodal Large Language Models Accelerating Transducers through Adjacent Token Merging

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-01T03:25:31.492677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T03:25:31.492677Z digest=sha256:e1911a0f563e3e81fe02e1c369d1a01905e9f81a17779144c95717e50f5216f8

Observation 4d4a87ba-6e4e-4cfb-8dd4-4b94e61d93cd · inbound

OmniScope: Modality-Decoupled Token Compression for Omnimodal Large Language Models cites this paper.

OmniScope: Modality-Decoupled Token Compression for Omnimodal Large Language Models Accelerating Transducers through Adjacent Token Merging

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-04T04:02:54.445710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T04:02:54.445710Z digest=sha256:ecdbeb6d0216197c1c3d72fc2830429d1362c282c4b0551a72d8c53389a439e3