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Paper Citation Record · LEDGER

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

As of 7 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 2026-08-07T06:34:17.273281+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:f61cf46642954ca3dc62d0fd220dc05db81b7b8d64c5a57ed3aaffb7541da1ac

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=sha256:3b8bdf4c9d7a99d952f0f98a56746c52be6cce1aecfb35f4584bf3063cbb0793

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:12:12.138487Z digest=sha256:30a9c3beae395941d8f0b2c3eabe1dd17424b3b088575953f06e00cbb33a2290

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:a5a71549f512715be1631ea4361c1eb1a6a5d6a8dc3d1c86830f36e451fb9009

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=sha256:6df92e4fcba0e854f8f6ce8250ea8d88d41544b2dcffff44d44056c20787a00b

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:da312e5d46026f3ceca10aa3cb25dc96d81621fb51de55642b4a0e6a6adefb6f

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:12:12.768176Z digest=sha256:0808bc44bd68667d5aea9034cd3d33d7a8ae4d3119287b90e57d5c62832e3d45

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:12:12.882831Z digest=sha256:417f2c2880134c6e4ccb5df04ab6915b62f252235cc791094bbbeead82b02f1c

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:12:13.079987Z digest=sha256:0e311a8964e384e98204e4699be27006d295e70e54f616b654f1ee6578376fe7

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:12:13.200868Z digest=sha256:7ad335301367f74910a7aac36d1b175bc7c5c042b9f3e4064fe1973b9a979c0b

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:12:13.361912Z digest=sha256:de718ddd85b106bdfbbd89dfe09b82211d4e4fad9fd542a6a2a23f7ccedf7fd8

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:12:13.557825Z digest=sha256:7509cc2ca83c9b18be6e5a2c06337c69a89f9ccfa2eea655d87926e7915f9611

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:12:13.737986Z digest=sha256:3af4896b39610669dad626a82a5a2cfe2d69f5f72d87e80152fed415a041ed85

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:12:13.860474Z digest=sha256:8c96c8f4e12e3a87eee5992b138177b4a21adedbdf1b4419c8e06f79e03919e2

Pith citing papers

No inbound Pith citation observations are available.