Paper Citation Record · LEDGER

Designing a Dashboard for Transparency and Control of Conversational AI

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2406.07882.

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

pith.paper-citation-record.v1
2406.07882 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:40:12.431538Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T09:07:47.902310Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 1882d3a5-a3cb-48dd-8294-f3b59f8a8415 · inbound

Fine-Grained Interpretation of Political Opinions in Large Language Models cites this paper.

Fine-Grained Interpretation of Political Opinions in Large Language Models Designing a Dashboard for Transparency and Control of Conversational AI

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T10:40:12.431538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9afb0f9-c4cc-4efd-afd8-86a0355162a3 · inbound

Robustly Improving LLM Fairness in Realistic Settings via Interpretability cites this paper.

Robustly Improving LLM Fairness in Realistic Settings via Interpretability Designing a Dashboard for Transparency and Control of Conversational AI

Reference 9203

Resolution: unresolved; no resolver link, observed 2026-08-07T04:18:33.646142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2856cf9-3960-4f23-8784-086a987b8959 · inbound

Because we have LLMs, we Can and Should Pursue Agentic Interpretability cites this paper.

Because we have LLMs, we Can and Should Pursue Agentic Interpretability Designing a Dashboard for Transparency and Control of Conversational AI

Reference 1993

Resolution: unresolved; no resolver link, observed 2026-08-07T01:03:20.611033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4da091a-128d-4e59-8d6f-64f6a01b3135 · inbound

Web-Browsing LLMs Can Access Social Media Profiles and Infer User Demographics cites this paper.

Web-Browsing LLMs Can Access Social Media Profiles and Infer User Demographics Designing a Dashboard for Transparency and Control of Conversational AI

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T16:51:35.360915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9be0636b-6433-4cde-8256-02fe01c65091 · inbound

Emotion Concepts and their Function in a Large Language Model cites this paper.

Emotion Concepts and their Function in a Large Language Model Designing a Dashboard for Transparency and Control of Conversational AI

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:35:57.979368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dc8a1dd6-8af8-4940-9dd4-974b8f5e1d87 · inbound

Tensor Product Representation Probes Reveal Shared Structure Across Linear Directions cites this paper.

Tensor Product Representation Probes Reveal Shared Structure Across Linear Directions Designing a Dashboard for Transparency and Control of Conversational AI

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:16:30.293335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation aa831e21-9440-495f-9c76-309c9904f71e · inbound

Stories in Space: In-Context Learning Trajectories in Conceptual Belief Space cites this paper.

Stories in Space: In-Context Learning Trajectories in Conceptual Belief Space Designing a Dashboard for Transparency and Control of Conversational AI

Reference 28

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T05:27:19.221019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b2fb3c0f-9b29-420d-b3d2-da4ae10fccce · inbound

Tracing Persona Vectors Through LLM Pretraining cites this paper.

Tracing Persona Vectors Through LLM Pretraining Designing a Dashboard for Transparency and Control of Conversational AI

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:29:27.893927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 36615d5d-2def-414b-aef9-8ccf905a6fb6 · inbound

Multi-Turn Neural Transparency: Surfacing Neural Activations Improves User Calibration to LLM Behavioral Drift cites this paper.

Multi-Turn Neural Transparency: Surfacing Neural Activations Improves User Calibration to LLM Behavioral Drift Designing a Dashboard for Transparency and Control of Conversational AI

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-19T14:42:37.630781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8880b414-b77a-4edf-9437-40494437a710 · inbound

Position: Anthropomorphic Misalignment Research Needs Stronger Evidence cites this paper.

Position: Anthropomorphic Misalignment Research Needs Stronger Evidence Designing a Dashboard for Transparency and Control of Conversational AI

Reference 128

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T20:22:37.256893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a506beb9-a1b1-4d1b-8b7f-ef96217bf91d · inbound

The Amplifying Mirror: Locating and Steering the Partisan Direction inside a Large Language Model cites this paper.

The Amplifying Mirror: Locating and Steering the Partisan Direction inside a Large Language Model Designing a Dashboard for Transparency and Control of Conversational AI

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-02T23:07:26.669659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5243fc6d-874a-41d1-acc2-460990cd63bd · inbound

Anatomy of Post-Training: Using Interpretability to Characterize Data and Shape the Learning Signal cites this paper.

Anatomy of Post-Training: Using Interpretability to Characterize Data and Shape the Learning Signal Designing a Dashboard for Transparency and Control of Conversational AI

Reference 282

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T09:07:47.905013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0992d90c-e0c0-43f9-9e27-bb39e556c745 · inbound

Breaking the Solver Bottleneck: Training Task Generators at the Learnable Frontier cites this paper.

Breaking the Solver Bottleneck: Training Task Generators at the Learnable Frontier Designing a Dashboard for Transparency and Control of Conversational AI

Reference 126

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T08:57:48.052233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 60eef402-cbe9-466d-a814-4571c2316af2 · inbound

HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation cites this paper.

HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation Designing a Dashboard for Transparency and Control of Conversational AI

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-14T15:55:25.318583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93da67a7-f59f-409b-a32e-ef8ce0cffbe9 · inbound

HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation cites this paper.

HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation Designing a Dashboard for Transparency and Control of Conversational AI

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-02T08:13:05.261454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8706016-1a67-475e-8c14-aa5d5052e18c · inbound

Position: It's Time to Optimize LLMs for Self-Consistency cites this paper.

Position: It's Time to Optimize LLMs for Self-Consistency Designing a Dashboard for Transparency and Control of Conversational AI

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T01:00:03.431188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.