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Paper Citation Record · LEDGER

Localizing Anchoring Pathways in Language Models

As of 14 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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-27T07:04:57.016552Z digest=sha256:3dc7c116ccd3e357daf23895ae35f7666b5d03a96d4704cca8e22cd2ffcdf51b

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-27T07:04:57.016552Z digest=sha256:0b7316527ed805382c021b097729517cd63a38bcc1da89e408a43b8a45d07521

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-27T07:04:57.016552Z digest=sha256:e374864036ca6e0ad3b74ecfbe578f49f3460b989d6023e17bac985a57aa9f8c

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-27T07:04:57.016552Z digest=sha256:ed741ea43cb31bacb4731a5b01ee5d45b459d25455be7bb445f1f661cec2c4a6

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-27T07:04:57.016552Z digest=sha256:8aa0e2296aef7691e57022ed29b1abb52f7f9d57c2854dfb729e01d63097468e

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-27T07:04:57.016552Z digest=sha256:5977f03a6100278ad351528e15a54ac990ee4902d917b593ea04ccd9e83543a2

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-27T07:04:57.016552Z digest=sha256:3ef7079f56043cdbe55685f003bb51a7510556cd56e29a505e29aca1c204d91c

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-27T07:04:57.016552Z digest=sha256:a382800b67462e0f71ecdcabee841e69e27eba7cfe6e20d0e78c90306df8566a

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-27T07:04:57.016552Z digest=sha256:7b1a5bcbbcbdc7de2cff5f2ce9efebd6608d5c28ec1cb3c770455c09216c62fc

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:ac5296e873863988b128711e2ce031e93ca481e969b351d6b9d95ea67002a4d1

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:e7c37c0cd1eb01923fb209b3836a7a0110aa97c526753a34ed4cb6ab31682022

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-27T07:04:57.016552Z digest=sha256:b6e561792dcafd4207423ed7bb6f6c6b533f43b9f978506d5af69fcd5cff0fec

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:d2cda86cf340c677893c82af94021ca981a2a8a8d938b2cb543acd36f8bcae0c

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-27T07:04:57.016552Z digest=sha256:af0a8b802e5b4bcdefc746f1e3c1bd8338ee614e885852b0d638e7338af0625a

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-27T07:04:57.016552Z digest=sha256:28df4579e8d1da2126377dc8ce8b9a0271999fcfa30817701061d3486849f1d8

Pith citing papers

No inbound Pith citation observations are available.