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Paper Citation Record · LEDGER

Breaking the Block: Preserving Data Continuity to Train Superior SAEs for Instruct Models

As of 8 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 1 inbound Pith citation observation for arXiv:2506.07691.

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

pith.paper-citation-record.v1
2506.07691 v2

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:34:17.124607Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-16T12:39:57.398423Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T12:40:54.631111Z

Reference resolution

13 of 13 outbound references displayed

  • verified exact0
  • verified fuzzy2
  • unresolved9
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 08ca7d9b-87b9-4f5e-a67a-299edeba5af2 · outbound

This paper cites an unresolved cited work.

Breaking the Block: Preserving Data Continuity to Train Superior SAEs for Instruct Models Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:34:17.273718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:34:17.096288Z digest=sha256:97360411fa026846062137096967ec7309628a74c767f331ab68574027bc7c96

Observation de6ff38d-ec3f-4cf4-99ae-b94a322e090d · outbound

This paper cites an unresolved cited work.

Breaking the Block: Preserving Data Continuity to Train Superior SAEs for Instruct Models Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:34:17.262760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:34:17.099804Z digest=sha256:907d438fba1e4fbd3415a4ec57f0223b96d9ab857ace8a22587d552353c5a9ea

Observation 7fce8e1f-f722-47c9-9806-f37594d71c6c · outbound

This paper cites s race, Olympic 5,000m champion Vivian Cheruiyot of Kenya won in her first half marathon.\nScotland\.

Breaking the Block: Preserving Data Continuity to Train Superior SAEs for Instruct Models s race, Olympic 5,000m champion Vivian Cheruiyot of Kenya won in her first half marathon.\nScotland\

Reference 3

Resolution
malformed identifier
raw_fallback, observed 2026-08-07T05:34:17.252015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:34:17.104010Z digest=sha256:aa7569544a7341fb37fe230c57357bad684bf0241cad78b9fa54e1d31f984662

Observation f1981c74-bfaf-4316-8742-3477df155798 · outbound

This paper cites The AI risk repository: A meta-review, database, and taxonomy of risks from artificial intelligence.

Breaking the Block: Preserving Data Continuity to Train Superior SAEs for Instruct Models The AI risk repository: A meta-review, database, and taxonomy of risks from artificial intelligence

Reference 4

Resolution
malformed identifier
no resolver link, observed 2026-08-07T05:34:17.091507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:34:17.091507Z digest=sha256:4fca0fdf9a9c6114ae751b1f5dc78554a250d0ea4a8394dd6b6d6c5fc7cd00fc

Observation 65404a69-f3f1-4509-b66a-41cbe1ecc4b7 · outbound

This paper cites an unresolved cited work.

Breaking the Block: Preserving Data Continuity to Train Superior SAEs for Instruct Models Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:34:17.240010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:34:17.108073Z digest=sha256:14d41f3b11a105d9662cc5cb70bbce715cb7b2d809f853469c3f449867f0657a

Observation 91b95826-ccac-46d5-8585-1b5da3833707 · outbound

This paper cites an unresolved cited work.

Breaking the Block: Preserving Data Continuity to Train Superior SAEs for Instruct Models Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:34:17.229598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:34:17.111239Z digest=sha256:78304f54bb2a4f6b9b8980a428e27dea8d386813dba2adce880e3db55b29e9d0

Observation 103b8d1c-ab56-412c-b594-03eb8be997a1 · outbound

This paper cites an unresolved cited work.

Breaking the Block: Preserving Data Continuity to Train Superior SAEs for Instruct Models Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:34:17.217951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:34:17.114393Z digest=sha256:e8268a5358f2d42a6e511b24eff8bdef03afd9d1a1d5423bc306539c85c5e57b

Observation 4edd5ce9-ae19-4793-9c9b-1c44e1b9095d · outbound

This paper cites <|im_start|>.

Breaking the Block: Preserving Data Continuity to Train Superior SAEs for Instruct Models <|im_start|>

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:34:17.208399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:34:17.117794Z digest=sha256:3fe24da64b0d0d7aa6b6d3cf3e0dc49921a36aeefa5e2dd6feff52532aec527f

Observation 72a1b87e-d1c0-47d7-ac09-78d05d9cb1a9 · outbound

This paper cites an unresolved cited work.

Breaking the Block: Preserving Data Continuity to Train Superior SAEs for Instruct Models Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:34:17.198085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:34:17.121157Z digest=sha256:e899a913e4e76decc885d5ea2e22be284a53b109ac711df07f8f1343e17ed29f

Observation 87716a8e-872d-4f6b-89e7-d05a2e461ab8 · outbound

This paper cites <|start_header_id|>.

Breaking the Block: Preserving Data Continuity to Train Superior SAEs for Instruct Models <|start_header_id|>

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:34:17.187700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:34:17.124607Z digest=sha256:f9c78c7c0fd524f6841b011f46ab588f83ea09a26c786d781a3cdf7884dcf070

Observation 14312ea5-af76-4916-a670-132b28bc9122 · outbound

This paper cites AgentInstruct: Toward Generative Teaching with Agentic Flows.

Breaking the Block: Preserving Data Continuity to Train Superior SAEs for Instruct Models AgentInstruct: Toward Generative Teaching with Agentic Flows

Reference 2013

Resolution
unresolved
no resolver link, observed 2026-08-07T05:34:17.083688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:34:17.083688Z digest=sha256:79ea3cb93d4444e1864acdd8370afbf05b44d61e658e6dd6ffc0016653975022

Observation 07ded49c-03ab-430a-a857-fa707bda04f0 · outbound

This paper cites Improving Dictionary Learning with Gated Sparse Autoencoders.

Breaking the Block: Preserving Data Continuity to Train Superior SAEs for Instruct Models Improving Dictionary Learning with Gated Sparse Autoencoders

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-07T05:34:17.087783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:34:17.087783Z digest=sha256:5fe75734ba7337f487081fc9c82a212c15b28f4abf9058d0b5783b8a973c8683

Observation 8c1c0a91-2136-4f85-8932-070813fb987f · outbound

This paper cites Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2.

Breaking the Block: Preserving Data Continuity to Train Superior SAEs for Instruct Models Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T05:34:17.079488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:34:17.079488Z digest=sha256:fbd44cd7a4198bc9b6a02dbdf58e25718040a441ae1c7d6c8159426a711222a2

Pith citing papers

Observation bddde6e3-c408-4460-835a-9b565d8be809 · inbound

Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models cites this paper.

Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models Breaking the Block: Preserving Data Continuity to Train Superior SAEs for Instruct Models

Reference 169

Resolution
verified exact
arxiv_id, observed 2026-07-21T02:22:23.844867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-16T12:39:57.398423Z digest=sha256:09551c5ee9891e2bf33c1db362aed55144a8c92a567f1c4e5db400dc07dfaf10