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Paper Citation Record · LEDGER

Power-of-Two (PoT) Weights in Large Language Models (LLMs)

As of 9 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2506.00315.

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

pith.paper-citation-record.v1
2506.00315 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:12:13.860474Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

14 of 14 outbound references displayed

  • verified exact0
  • verified fuzzy3
  • unresolved10
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dfa13584-b642-4081-9bfe-06fd4741a4e2 · outbound

This paper cites URL: " 'urlintro :=.

Power-of-Two (PoT) Weights in Large Language Models (LLMs) URL: " 'urlintro :=

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T12:12:11.795785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:12:11.795785Z digest=sha256:72e2f8d618dd92ee6f562699c546d390c6e061f2d8d62e9fbc6121900097b09e

Observation aa8e7e77-3884-42f9-884b-785c72b9add9 · outbound

This paper cites write newline.

Power-of-Two (PoT) Weights in Large Language Models (LLMs) write newline

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T12:12:11.984343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:12:11.984343Z digest=sha256:e6aefbf67fa4b741e904466d8b8392635c80aac014c32e77950327144b4c8bca

Observation f0d88cec-fa0b-4851-8e93-3958b0ac43da · outbound

This paper cites Gholami, S.

Power-of-Two (PoT) Weights in Large Language Models (LLMs) Gholami, S

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:12:15.715112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T12:12:12.138487Z digest=sha256:da1fd6a1611901bdca12c3c3a2a8525713dfb1623501e50c3652f8e3b8ffc127

Observation 2fb3bb1f-2f05-4e91-8729-55104da8e4c7 · outbound

This paper cites Quantizing deep convolutional networks for efficient inference: A whitepaper.

Power-of-Two (PoT) Weights in Large Language Models (LLMs) Quantizing deep convolutional networks for efficient inference: A whitepaper

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T12:12:12.294927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:12:12.294927Z digest=sha256:872206b0ef3e38ae9028672c6e5b56712b90bad19aec1efa2279b8e9212e37d3

Observation ba2b57fa-d859-4d6e-8514-009769030acd · outbound

This paper cites Integer Quantization for Deep Learning Inference: Principles and Empirical Evaluation.

Power-of-Two (PoT) Weights in Large Language Models (LLMs) Integer Quantization for Deep Learning Inference: Principles and Empirical Evaluation

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T12:12:12.442972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:12:12.442972Z digest=sha256:9b176a8bc677dd89b2991361e6b119673ec0a30561dbc1f6e70c38ee58a57294

Observation 89ada610-963c-498f-8888-7b66aafe082e · outbound

This paper cites Power-of-Two Quantization for Low Bitwidth and Hardware Compliant Neural Networks.

Power-of-Two (PoT) Weights in Large Language Models (LLMs) Power-of-Two Quantization for Low Bitwidth and Hardware Compliant Neural Networks

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T12:12:12.610791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:12:12.610791Z digest=sha256:4d01b4a5ecc9e9a0f93a309e742de155890e75fa52e1edeef57def58ad36488f

Observation cc2ab939-ce95-4e04-a2b0-855369caea44 · outbound

This paper cites McDanel, S.

Power-of-Two (PoT) Weights in Large Language Models (LLMs) McDanel, S

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:12:15.523982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T12:12:12.768176Z digest=sha256:d4f5f38d35bab642af33b9242562123f00a15d7c74a56e2313e2f122b94c2bd0

Observation c40878ea-f7f2-4baf-880c-a7f4a5c2d165 · outbound

This paper cites an unresolved cited work.

Power-of-Two (PoT) Weights in Large Language Models (LLMs) Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:12:15.313758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T12:12:12.882831Z digest=sha256:b31456430b282320bb65c6350607642562230db605edc86d856545fafdc87121

Observation fdee5999-8918-4e73-831a-5f825143e144 · outbound

This paper cites an unresolved cited work.

Power-of-Two (PoT) Weights in Large Language Models (LLMs) Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:12:15.138736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T12:12:13.079987Z digest=sha256:e228822dca9645b82b7035ab4d60c3fa898bd09552149bb293ccfa4232a22b3b

Observation 6938070e-431e-4f46-99dc-dd494f620bd9 · outbound

This paper cites openwebtext.

Power-of-Two (PoT) Weights in Large Language Models (LLMs) openwebtext

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:12:14.985932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T12:12:13.200868Z digest=sha256:53088d9a5166da0ea4ff7e36a27ed706cc8aeb023cec5d45305ab950f90ff1fe

Observation 76d5dee7-18b5-4946-8cab-7a9780d8489d · outbound

This paper cites an unresolved cited work.

Power-of-Two (PoT) Weights in Large Language Models (LLMs) Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:12:14.812370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T12:12:13.361912Z digest=sha256:8ba699f15fe4d5274fee1d205ae53f67f285e94ba0396126f3ed44b8ba67daa7

Observation e57126bb-9715-4386-bbff-59ced2198bba · outbound

This paper cites an unresolved cited work.

Power-of-Two (PoT) Weights in Large Language Models (LLMs) Unresolved cited work

Reference 12

Resolution
parse uncertain
raw_fallback, observed 2026-08-07T12:12:14.640189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T12:12:13.557825Z digest=sha256:43cbfd0009f753448abb6356ff37ad32eaad198dcf30ea41bfc770590bf7a897

Observation f3b7fe43-607c-43a8-a870-18aa21d1a4b2 · outbound

This paper cites an unresolved cited work.

Power-of-Two (PoT) Weights in Large Language Models (LLMs) Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:12:14.406499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T12:12:13.737986Z digest=sha256:cf9f7623cd8f1f771310e553b7c400340f46920a018d7680e253f17254497129

Observation bb795ccd-2192-425c-b55c-222241aea932 · outbound

This paper cites an unresolved cited work.

Power-of-Two (PoT) Weights in Large Language Models (LLMs) Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:12:14.224957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T12:12:13.860474Z digest=sha256:a4e8b726727b85c23077f31a7d9678f7b72c597b6c45a1128240b1b222baf03d

Pith citing papers

No inbound Pith citation observations are available.