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Paper Citation Record · LEDGER

TRAWL: Tensor Reduced and Approximated Weights for Large Language Models

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.17261.

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

pith.paper-citation-record.v1
2406.17261 v3

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 2026-08-20T06:33:59.587034+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T10:36:19.692385Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T01:46:26.864121Z

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 9d2ba456-eedd-4168-b957-e55a1bae1041 · inbound

Incremental Hierarchical Tucker Decomposition cites this paper.

Incremental Hierarchical Tucker Decomposition TRAWL: Tensor Reduced and Approximated Weights for Large Language Models

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-11T10:36:19.692385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T10:36:19.692385Z digest=sha256:5c66b55d31647d6a134f0d75c27039e96994018eb70c4f6b7e3cc15767227551

Observation 77baf5c0-dce4-47ef-8883-8a860bb8dc5a · inbound

TensorLLM: Tensorising Multi-Head Attention for Enhanced Reasoning and Compression in LLMs cites this paper.

TensorLLM: Tensorising Multi-Head Attention for Enhanced Reasoning and Compression in LLMs TRAWL: Tensor Reduced and Approximated Weights for Large Language Models

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-10T14:07:07.336593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:07:07.336593Z digest=sha256:8b51a06ea8354ab89214155b0de3976c2ecbc739a81751dc666cd978d65eaab5

Observation f8792c9b-0f11-4955-9d3b-cd277838d36e · inbound

Rethinking the Role of Tensor Decompositions in Post-Training LLM Compression cites this paper.

Rethinking the Role of Tensor Decompositions in Post-Training LLM Compression TRAWL: Tensor Reduced and Approximated Weights for Large Language Models

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-07-02T01:46:26.866190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-28T11:31:25.851340Z digest=sha256:b17849ae77cdbea9f94a318160c46246ee360dfc3595d2172cb4687953f7758f