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Paper Citation Record · LEDGER

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

As of 23 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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T05:34:17.096288Z digest=sha256:4032ad4da8de1caa77f28e60ceae85de2fc314f4e8fa8a9a3a42e59ec543252e

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T05:34:17.099804Z digest=sha256:e2f9e10b7f8e4e2f33458c4eae5088726bbc66f1719ce8487bc887a3b0eb0859

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T05:34:17.104010Z digest=sha256:a94e88b2db84829ea668fe42a44b2d788dfb7bdf524fbb32fe7c518d8906697a

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:c3dceb885bef547c5832dc994bb48290100e25a9f0e953f53779c8e78005dfc0

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T05:34:17.108073Z digest=sha256:6668ed713e1b327148b1559d43caf8d203d482601ee7ec1f03b6e8619edd8693

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T05:34:17.111239Z digest=sha256:6dcab59236f05f6b5450448d39fafacc553b348c17a44ee7e1f048543ebecad6

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T05:34:17.114393Z digest=sha256:fe290358625f26d75831b534a9ead8195ea4d77e5496fe6599f8797fc2fd73a8

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T05:34:17.117794Z digest=sha256:7609145f1eeb85b8a99d83b0ec37c8bef3088a87d312974986bd9b165e1b27f4

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T05:34:17.121157Z digest=sha256:828e0fb04ef8b41b22e8de975ac4b7720898ef25fed7dd31cc668e2fbbb0d062

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T05:34:17.124607Z digest=sha256:914b02b60d8a9d2f9f4d23c3c13f7b61178cf87625c9bbe1bb2e3ff62a6fd6ee

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=sha256:845189482c063b61ace3f3f02cf00d2d2f86c9aedd5a78a1d434dfed3bcf71dd

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=sha256:06e4bef9ef0a74c5e7d2d585a398a2a0772ad39ae35b00a7f73dc8a94b1fac01

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:f962f29d728dc1d1b00055963e497624fb41dc123eef0c5522dd048e616ad1d8

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-16T12:39:57.398423Z digest=sha256:f921043b5e3734fa922783bafaffbf6d68a090435e90e8f372cf18b79bccce4f