Pith. sign in

Paper Citation Record · LEDGER

Exploiting LLM Quantization

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2405.18137.

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

pith.paper-citation-record.v1
2405.18137 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:06:23.733823Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T00:17:28.794345Z

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 12e1aca5-3cbf-4f8f-9593-d3a005e38670 · inbound

Precision or Peril: A PoC of Python Code Quality from Quantized Large Language Models cites this paper.

Precision or Peril: A PoC of Python Code Quality from Quantized Large Language Models Exploiting LLM Quantization

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-23T17:33:15.845301Z

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=pdf_text observed=2026-05-23T17:30:54.204300Z digest=sha256:ca5c95283761c65f3cfcc28e054dcc2049755e6a8ec6bad4450e4280edda7543

Observation 4ae7f781-40fe-408d-a4c1-07ef4e68180c · inbound

Rethinking Predictive Modeling for LLM Routing: When Simple kNN Beats Complex Learned Routers cites this paper.

Rethinking Predictive Modeling for LLM Routing: When Simple kNN Beats Complex Learned Routers Exploiting LLM Quantization

Reference 34

Resolution
metadata mismatch
arxiv_id, observed 2026-05-22T15:14:57.414602Z

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=pdf_text observed=2026-05-22T15:13:28.927880Z digest=sha256:0f7b8a64491e13acc1df4f3d209935106444d381bf68b7520f7582ececcb52d4

Observation 5bb5b62c-c8fe-43bc-829b-d557021bd461 · inbound

Scalable Parameter and Memory Efficient Pretraining for LLM: Recent Algorithmic Advances and Benchmarking cites this paper.

Scalable Parameter and Memory Efficient Pretraining for LLM: Recent Algorithmic Advances and Benchmarking Exploiting LLM Quantization

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T13:06:23.733823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:06:23.733823Z digest=sha256:ed8ff150b1db445f40b3cdd19d9d1223396c5eff70ac8ad49c17e3887171b527

Observation 64ba23fe-bd76-43e3-8320-52f2e528e5f8 · inbound

Q-resafe: Assessing Safety Risks and Quantization-aware Safety Patching for Quantized Large Language Models cites this paper.

Q-resafe: Assessing Safety Risks and Quantization-aware Safety Patching for Quantized Large Language Models Exploiting LLM Quantization

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T23:00:19.528854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:00:19.528854Z digest=sha256:bbb27903d0b6f5502b6de651c0fdab50803a5917173ba3e28900bb6a0be910eb

Observation de39af27-0440-4f44-930f-c3680bf270bd · inbound

Quantized but Deceptive? A Multi-Dimensional Truthfulness Evaluation of Quantized LLMs cites this paper.

Quantized but Deceptive? A Multi-Dimensional Truthfulness Evaluation of Quantized LLMs Exploiting LLM Quantization

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-05T15:52:44.902789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:52:44.902789Z digest=sha256:a49e70e10423b9c91f72ba807d48c3ec30c522f724033f829fb664a3993e2f6e

Observation de2593e6-bb79-4a5f-aa80-5b8c5409705d · inbound

A Paired Testing Protocol for Batch-Conditioned Refusal Robustness in LLM Serving cites this paper.

A Paired Testing Protocol for Batch-Conditioned Refusal Robustness in LLM Serving Exploiting LLM Quantization

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-06-29T18:03:47.864500Z

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=2026-06-29T18:03:19.798168Z digest=sha256:928a31b1f5ee079923afbd79138f850ac1b5c1a755556b6ad3359d8e513c7f14

Observation 5372fc45-b7e4-42ee-9c82-c33c47f72951 · inbound

Quality Is Not a Safety Proxy Under Quantization cites this paper.

Quality Is Not a Safety Proxy Under Quantization Exploiting LLM Quantization

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-07-03T00:17:28.795933Z

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=pdf_text observed=2026-06-27T17:23:08.935056Z digest=sha256:b15c78bd65ad96c5f0de1c3308f0a64668ea512010e1bad155d19c96c3b628a8