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Paper Citation Record · LEDGER

Localizing Anchoring Pathways in Language Models

As of 23 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2606.12818.

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

pith.paper-citation-record.v1
2606.12818 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T07:04:57.016552Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

15 of 15 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved3
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch11

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0a3c0ad3-3e15-40ef-958d-85fb4c943fd5 · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

Localizing Anchoring Pathways in Language Models Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 1

Resolution
metadata mismatch
local_arxiv, observed 2026-07-03T14:28:31.348293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-27T07:04:57.016552Z digest=sha256:e783fc89ca6118d1462394a534efaedb6063304f894abdaa283bc6244693ed0f

Observation 6ff858ab-2883-498f-ad96-dd8baaaf7702 · outbound

This paper cites How Causal Abstraction Underpins Computational Explanation.

Localizing Anchoring Pathways in Language Models How Causal Abstraction Underpins Computational Explanation

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-07-10T01:18:55.304599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-27T07:04:57.016552Z digest=sha256:561461a6fc7aff7c80237f29401d300771f23a3480f8fab571e3cc79c9d31d6d

Observation 5c1c6558-ecd1-4b3c-b95a-4d61fa7b53fc · outbound

This paper cites Localizing Model Behavior with Path Patching.

Localizing Anchoring Pathways in Language Models Localizing Model Behavior with Path Patching

Reference 3

Resolution
metadata mismatch
local_arxiv, observed 2026-07-03T14:28:31.361040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-27T07:04:57.016552Z digest=sha256:9eeabdee9b544fd14008ff912daaaa086d5f18ab830f17a01edd601b7a6694ba

Observation 34b2a651-e1cc-4961-8c59-787a1532d9b2 · outbound

This paper cites The Llama 3 Herd of Models.

Localizing Anchoring Pathways in Language Models The Llama 3 Herd of Models

Reference 4

Resolution
metadata mismatch
local_arxiv, observed 2026-07-03T14:28:31.340658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-27T07:04:57.016552Z digest=sha256:f35a35f97b7b0d3405757cdccd5770420934017d969204ecc2cfdef4a2ec9a24

Observation 8a8f6c0e-9d21-4bca-9b6e-33fa076abaf1 · outbound

This paper cites arXiv:2505.15392 [cs].

Localizing Anchoring Pathways in Language Models arXiv:2505.15392 [cs]

Reference 5

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T14:28:31.358619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-27T07:04:57.016552Z digest=sha256:dd431bcd80b047eafbd8eddf579ca865d8743e9cc7465f52621fe3521c47a213

Observation a03226b5-68db-4d60-8ba7-6a5d3d399e43 · outbound

This paper cites AtP*: An efficient and scalable method for localizing LLM behaviour to components.

Localizing Anchoring Pathways in Language Models AtP*: An efficient and scalable method for localizing LLM behaviour to components

Reference 6

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T14:28:31.353144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-27T07:04:57.016552Z digest=sha256:b09c68384d695383072c38b2c7be151aa99fe0799bce4288a9890411b750ac8d

Observation 0c678350-c06b-49ad-a20c-f189bc3850af · outbound

This paper cites Does Circuit Analysis Interpretability Scale? Evidence from Multiple Choice Capabilities in Chinchilla.

Localizing Anchoring Pathways in Language Models Does Circuit Analysis Interpretability Scale? Evidence from Multiple Choice Capabilities in Chinchilla

Reference 7

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T14:28:31.343149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-27T07:04:57.016552Z digest=sha256:6fa12f07ff13b60cab4b94a76b82d188ad84f78c956e73808f23ba734660228a

Observation 88c0845e-2d43-49d0-b3a8-f19dbb240539 · outbound

This paper cites Anchoring Bias in Large Language Models: An Experimental Study.

Localizing Anchoring Pathways in Language Models Anchoring Bias in Large Language Models: An Experimental Study

Reference 8

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T14:28:31.338519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-27T07:04:57.016552Z digest=sha256:17dddac4d38d2ff5bad67b5221c79c02f5769d091dab9a873e9d80065298e435

Observation 40f324c5-98aa-47c6-ad0e-19cfc18635ca · outbound

This paper cites Circuit Component Reuse Across Tasks in Transformer Language Models.

Localizing Anchoring Pathways in Language Models Circuit Component Reuse Across Tasks in Transformer Language Models

Reference 9

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T14:28:31.355684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-27T07:04:57.016552Z digest=sha256:ccece964d671e36554bf25f10236cf46dab1a68ff2ae2c2651742ddaca894391

Observation 97c58ba8-d549-43b5-9f1e-7c14a2ca6e44 · outbound

This paper cites InFindings of ACL: NAACL 2024, pages 2006–2017.

Localizing Anchoring Pathways in Language Models InFindings of ACL: NAACL 2024, pages 2006–2017

Reference 10

Resolution
unresolved
no resolver link, observed 2026-06-27T07:04:57.016552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T07:04:57.016552Z digest=sha256:590fd542c30388a1431a61512b9ef3b280202e6a9242bdbe663f605ee4197272

Observation db48f25d-e5b7-45cc-9120-411ae46b6a7d · outbound

This paper cites InProceedings of the 2023 Con- ference on Empirical Methods in Natural Language Processing, pages 7035–7052.

Localizing Anchoring Pathways in Language Models InProceedings of the 2023 Con- ference on Empirical Methods in Natural Language Processing, pages 7035–7052

Reference 11

Resolution
unresolved
no resolver link, observed 2026-06-27T07:04:57.016552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T07:04:57.016552Z digest=sha256:d18c0648743963d82d7b66c261675406110518b074ae60f15200e9d093050f4f

Observation 2b763d8a-fbeb-4181-a5ba-f2d01c17539a · outbound

This paper cites CoRR abs/2511.05766(2025).

Localizing Anchoring Pathways in Language Models CoRR abs/2511.05766(2025)

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T14:28:31.335956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-27T07:04:57.016552Z digest=sha256:9ccbc3cf855d39c9bb95b3fe5b22d5696586b6c6be8d068c0eef0fbc595bad08

Observation e17db051-e630-40a0-99c1-3361723c7dee · outbound

This paper cites InProceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 38–45, Online.

Localizing Anchoring Pathways in Language Models InProceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 38–45, Online

Reference 13

Resolution
unresolved
no resolver link, observed 2026-06-27T07:04:57.016552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T07:04:57.016552Z digest=sha256:2101720e7075c3f9f9997cca8b54ac92619a2d5f75fb675224b479d768cd818c

Observation 6a7841ae-3ffa-499e-901b-8fbf9081ea19 · outbound

This paper cites Qwen2.5 Technical Report.

Localizing Anchoring Pathways in Language Models Qwen2.5 Technical Report

Reference 14

Resolution
metadata mismatch
local_arxiv, observed 2026-07-03T14:28:31.350654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-27T07:04:57.016552Z digest=sha256:cd9ca7befb4312389095808290cccb2516f842d795c9811b6c826a7ed524ae65

Observation 46650180-bac1-4100-9e09-c5d229801d2c · outbound

This paper cites Towards Best Practices of Activation Patching in Language Models: Metrics and Methods.

Localizing Anchoring Pathways in Language Models Towards Best Practices of Activation Patching in Language Models: Metrics and Methods

Reference 15

Resolution
malformed identifier
local_arxiv, observed 2026-07-03T14:28:31.345916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-27T07:04:57.016552Z digest=sha256:75ae52291dc9c79658a95706aeaebe1bb02ff7806f389a0bb4206e96b4cf0219

Pith citing papers

No inbound Pith citation observations are available.