Pith. sign in

Paper Citation Record · LEDGER

Length-Adaptive Transformer: Train Once with Length Drop, Use Anytime with Search

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2010.07003.

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

pith.paper-citation-record.v1
2010.07003 v2

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 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T05:29:16.769723Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T02:14:10.700447Z

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 7e7f756f-484b-461b-ba97-e033e88490ea · inbound

Token Merging: Your ViT But Faster cites this paper.

Token Merging: Your ViT But Faster Length-Adaptive Transformer: Train Once with Length Drop, Use Anytime with Search

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-12T20:52:10.473551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-12T20:52:10.065925Z digest=sha256:c727394b0d01c7adabcea0ae9d2b24f7b62584e157b0711ba2b25b038b05ad48

Observation 42c88afe-2acb-4fed-bbfd-833d130dcbb1 · inbound

Top-Theta Attention: Sparsifying Transformers by Compensated Thresholding cites this paper.

Top-Theta Attention: Sparsifying Transformers by Compensated Thresholding Length-Adaptive Transformer: Train Once with Length Drop, Use Anytime with Search

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-08T05:29:16.769723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:29:16.769723Z digest=sha256:927556f8e714eb1b62124caff746663b2910f81c53d26382b753fb273f1ef7db

Observation a42fe4c0-1e0a-429a-abdc-a15275cc8ad9 · inbound

Training-free Token Reduction for Vision Mamba cites this paper.

Training-free Token Reduction for Vision Mamba Length-Adaptive Transformer: Train Once with Length Drop, Use Anytime with Search

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T16:16:49.296006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:16:49.296006Z digest=sha256:534efcf896d211b0586e183c130edfa24d7eccc587e7c4d08dca57d271e90c61

Observation 4d9b0595-6538-432c-8b88-2af5e8c6db83 · inbound

LightVLM: Acceleraing Large Multimodal Models with Pyramid Token Merging and KV Cache Compression cites this paper.

LightVLM: Acceleraing Large Multimodal Models with Pyramid Token Merging and KV Cache Compression Length-Adaptive Transformer: Train Once with Length Drop, Use Anytime with Search

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-05T13:42:24.274676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:42:24.274676Z digest=sha256:ff1eeada7f1c87dbd3cca13dca91bf53971dd61232d223dc3ca9961d041f0f9f

Observation 96aa57a0-d5d4-46ab-b49b-a4262d91a015 · inbound

DTM-Codec: Dynamic Token Masking for VFR Speech Coding with Efficient Boundary Selection cites this paper.

DTM-Codec: Dynamic Token Masking for VFR Speech Coding with Efficient Boundary Selection Length-Adaptive Transformer: Train Once with Length Drop, Use Anytime with Search

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-06-30T02:14:10.702749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T02:10:08.691873Z digest=sha256:452ecc7efcd8ac77b22e52c925b230205e333057573a027398772079bede734d