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Paper Citation Record · LEDGER

Massive Spikes in LLMs are Bias Vectors: Mechanistic Uncovering and Spike-Free Quantization

As of 16 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2606.02288.

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

pith.paper-citation-record.v1
2606.02288 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T15:18:10.471409Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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 exact1
  • verified fuzzy0
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e0b0b951-8b52-482b-b8e4-cef75346a4b2 · outbound

This paper cites Why do LLMs attend to the first token?.

Massive Spikes in LLMs are Bias Vectors: Mechanistic Uncovering and Spike-Free Quantization Why do LLMs attend to the first token?

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T22:36:17.033848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-28T15:18:10.471409Z digest=sha256:5c2ca07c68222c72dc2548500ac58f5494ecb6111801139f52f84e7c38edce6e

Observation 80c7379f-9e03-4434-b55d-bc1c5b5c6b1c · outbound

This paper cites What are you sinking? A geometric approach on attention sink.

Massive Spikes in LLMs are Bias Vectors: Mechanistic Uncovering and Spike-Free Quantization What are you sinking? A geometric approach on attention sink

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T22:36:17.027283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-28T15:18:10.471409Z digest=sha256:fe3533ddeef8256493e2beea398d7fee113ea2e308279ed29b3aa074c8f97f3d

Observation e088516b-eccd-4e0b-862b-2d4543529564 · outbound

This paper cites Mitigating Quantization Errors Due to Activation Spikes in GLU-Based LLMs.

Massive Spikes in LLMs are Bias Vectors: Mechanistic Uncovering and Spike-Free Quantization Mitigating Quantization Errors Due to Activation Spikes in GLU-Based LLMs

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-07-01T22:36:17.030848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-28T15:18:10.471409Z digest=sha256:86c1120ccd95ca6f1810711273b21c319fe025542485a8fe808e93f8921f7dc0

Observation 5660bbd5-40f9-4402-9468-c46cc73910ca · outbound

This paper cites Push- Pull.

Massive Spikes in LLMs are Bias Vectors: Mechanistic Uncovering and Spike-Free Quantization Push- Pull

Reference 4

Resolution
unresolved
no resolver link, observed 2026-06-28T15:18:10.471409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:18:10.471409Z digest=sha256:454d244a713351b89c3179a5f20de724009b1430e34b6a7a295ca63fefc192e2

Observation 7bd5fae8-ccd3-43a1-b5a9-b61c63a63786 · outbound

This paper cites modulo 64.

Massive Spikes in LLMs are Bias Vectors: Mechanistic Uncovering and Spike-Free Quantization modulo 64

Reference 5

Resolution
unresolved
no resolver link, observed 2026-06-28T15:18:10.471409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:18:10.471409Z digest=sha256:84080b3ac01f81d6ca354e3eb9f6471f7b2f6b5ad48af44d8af49a46773b8c64

Observation 2918fb05-fa50-45c4-8fdf-a88dfa8ea647 · outbound

This paper cites Due to the nascent state of the activation patterns, only the subset of sink tokens exhibiting early-onset spikes are detected.

Massive Spikes in LLMs are Bias Vectors: Mechanistic Uncovering and Spike-Free Quantization Due to the nascent state of the activation patterns, only the subset of sink tokens exhibiting early-onset spikes are detected

Reference 6

Resolution
unresolved
no resolver link, observed 2026-06-28T15:18:10.471409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:18:10.471409Z digest=sha256:5735ba90128f8b6b2557c5565c4eda2cd5764c8be4ee6e09fddff1e25d02e1a1

Observation 4adc8708-2538-42b1-9975-f3fc5e7f980f · outbound

This paper cites This stage captures any remaining sink tokens that did not spark in Layer 0.

Massive Spikes in LLMs are Bias Vectors: Mechanistic Uncovering and Spike-Free Quantization This stage captures any remaining sink tokens that did not spark in Layer 0

Reference 7

Resolution
unresolved
no resolver link, observed 2026-06-28T15:18:10.471409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:18:10.471409Z digest=sha256:a3311326c01789f3c20ec9547fbe7d366b5cb6829f867d8f79e5527f4058df72

Observation 376cf364-55ff-4b46-ac5c-813146644944 · outbound

This paper cites an unresolved cited work.

Massive Spikes in LLMs are Bias Vectors: Mechanistic Uncovering and Spike-Free Quantization Unresolved cited work

Reference 8

Resolution
unresolved
no resolver link, observed 2026-06-28T15:18:10.471409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:18:10.471409Z digest=sha256:9bf7beae70bfa605ce846770ce09512cb42fb3eb5a96225ffa55cf7aab7d50ef

Observation 2059f85f-2c2b-487a-b713-36cd1a7303ec · outbound

This paper cites an unresolved cited work.

Massive Spikes in LLMs are Bias Vectors: Mechanistic Uncovering and Spike-Free Quantization Unresolved cited work

Reference 9

Resolution
unresolved
no resolver link, observed 2026-06-28T15:18:10.471409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:18:10.471409Z digest=sha256:79bbae313c72df7056be7c73fa8fbbb456719236d4052f4c932dc64d5667e9f2

Observation 35280333-9381-4998-b836-9dafb62ea027 · outbound

This paper cites an unresolved cited work.

Massive Spikes in LLMs are Bias Vectors: Mechanistic Uncovering and Spike-Free Quantization Unresolved cited work

Reference 10

Resolution
unresolved
no resolver link, observed 2026-06-28T15:18:10.471409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:18:10.471409Z digest=sha256:66f3d76cc3872bc2cabe7f101ec8fc310b5f46dc1ec0c7f4c72efceb2b7b7788

Observation 111d5285-7d4b-4d44-b6e8-6dba18efa0c2 · outbound

This paper cites sink token.

Massive Spikes in LLMs are Bias Vectors: Mechanistic Uncovering and Spike-Free Quantization sink token

Reference 11

Resolution
unresolved
no resolver link, observed 2026-06-28T15:18:10.471409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:18:10.471409Z digest=sha256:b901703f37848326265e5eb7a39630649600351611f9b77c78453e7e18123315

Observation e0ac6e3d-9236-492e-a647-23487b7209c7 · outbound

This paper cites an unresolved cited work.

Massive Spikes in LLMs are Bias Vectors: Mechanistic Uncovering and Spike-Free Quantization Unresolved cited work

Reference 12

Resolution
unresolved
no resolver link, observed 2026-06-28T15:18:10.471409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:18:10.471409Z digest=sha256:4b57e73128eac415c37623c5038fb65e25c9c25f47df44ba19af5f6a9b0f2c40

Observation aaf5b15e-2c68-4f7e-9785-e36ab99bb3a7 · outbound

This paper cites an unresolved cited work.

Massive Spikes in LLMs are Bias Vectors: Mechanistic Uncovering and Spike-Free Quantization Unresolved cited work

Reference 13

Resolution
unresolved
no resolver link, observed 2026-06-28T15:18:10.471409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:18:10.471409Z digest=sha256:69472cd1239faee3b460f80e10d976dcd7a432a491df997369e7dd899ffa816b

Observation af653838-32c5-4261-8048-2366e87fe206 · outbound

This paper cites • Vision: ImageNet-1K (Deng et al., 2009) (Custom; Non-Commercial), and Flickr30k (Young et al., 2014) (Custom; Research Use) via [HuggingFace].

Massive Spikes in LLMs are Bias Vectors: Mechanistic Uncovering and Spike-Free Quantization • Vision: ImageNet-1K (Deng et al., 2009) (Custom; Non-Commercial), and Flickr30k (Young et al., 2014) (Custom; Research Use) via [HuggingFace]

Reference 14

Resolution
unresolved
no resolver link, observed 2026-06-28T15:18:10.471409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T15:18:10.471409Z digest=sha256:a829f233563c019466a812ea1ea944895b065d968e523efe7d565eb0a3a7e91d

Pith citing papers

No inbound Pith citation observations are available.