Pith. sign in

Paper Citation Record · LEDGER

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

As of 19 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 2026-08-19T06:32:44.657259+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=sha256:21f0583436315bf669c9b7f2ba9a8cca9362e642169a61f64e5fdbc53da75e1c

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:ecc835ee4dc88f743cb9edc89ecfe170caaad13877762b89fcb81a8bebf5be77

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T12:12:12.138487Z digest=sha256:849e51469b1f975a3b1e6c2d83f5dc42de269576a34bb3febaf0069306b3479f

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:cb46a206fe882f1db5702f826a1663e0dcc732aca5ecfd4f97e82d3549c0a3a0

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:bca1001b170eb0239921cd8d02e0f46cbe71ccf2c6354490177eb6d6016c64bc

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:f9d418b721d158d9f9468919a5142cc45a074b753336c819bb75d1d3192a1f0f

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T12:12:12.768176Z digest=sha256:00a1341b377e8640c20c3adb4466314f567649eac4fa531c3e8578a16209953c

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T12:12:12.882831Z digest=sha256:03430ca92e72b98cc73ceea8095d9b878a093191e6ef71d13c367bedf2b43537

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T12:12:13.079987Z digest=sha256:b7f7a69340cbfb6b6a7652b36f77688a6b457152d8f20dd165003ab8ab809b2d

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T12:12:13.200868Z digest=sha256:d8ea68c6cbb49c9eee534071f556c8d01cedf60ca1a40e032439b6e9e9d630df

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T12:12:13.361912Z digest=sha256:64fc66f86b9aed7cd6db9f512755753ae0c4ab83927b62d20cba3ad18ba05e54

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T12:12:13.557825Z digest=sha256:a84dac24e9a062f14fe5f2f7a248138ccdec72d27c49f21023a355ebb53adcfa

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T12:12:13.737986Z digest=sha256:51d0c5ae4ac8fa459906412627eff3f304c5c91153833c41529bd3b4ea444700

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T12:12:13.860474Z digest=sha256:f141036117e960293165bb594c640129a4209e666e91c980c851953439c9c661

Pith citing papers

No inbound Pith citation observations are available.