Paper Citation Record · LEDGER

From Directions to Cones: Exploring Multidimensional Representations of Propositional Facts in LLMs

As of 17 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 3 inbound Pith citation observations for arXiv:2505.21800.

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

pith.paper-citation-record.v1
2505.21800 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:28:02.896098Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:01:47.847228Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

40 of 40 outbound references displayed

verified exact0
verified fuzzy12
unresolved28
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation a3f445fb-28fa-4a33-a1b1-5ef0ae9d4ac0 · outbound

This paper cites Understanding intermediate layers using linear classifier probes.

From Directions to Cones: Exploring Multidimensional Representations of Propositional Facts in LLMs Understanding intermediate layers using linear classifier probes

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T13:27:59.847789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04ea8199-8400-4fc9-8941-c6a83134ec4e · outbound

This paper cites Refusal in language models is mediated by a single direction.

From Directions to Cones: Exploring Multidimensional Representations of Propositional Facts in LLMs Refusal in language models is mediated by a single direction

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:28:05.814272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c6c2acd4-5291-4e4c-b9fd-6709abd76870 · outbound

This paper cites The Internal State of an LLM Knows When It's Lying.

From Directions to Cones: Exploring Multidimensional Representations of Propositional Facts in LLMs The Internal State of an LLM Knows When It's Lying

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T13:28:00.057643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ace53ab5-3a7b-4301-9a5c-d2e4c154bbc1 · outbound

This paper cites Probing classifiers: Promises, shortcomings, and advances.

From Directions to Cones: Exploring Multidimensional Representations of Propositional Facts in LLMs Probing classifiers: Promises, shortcomings, and advances

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:28:05.706903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0078724c-dbbf-45b1-9ae4-2bb508860bee · outbound

This paper cites Mechanistic Interpretability for AI Safety -- A Review.

From Directions to Cones: Exploring Multidimensional Representations of Propositional Facts in LLMs Mechanistic Interpretability for AI Safety -- A Review

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T13:28:00.211642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b69bf6c7-8d5b-4304-9614-16b029e23e91 · outbound

This paper cites Language models are few-shot learners.

From Directions to Cones: Exploring Multidimensional Representations of Propositional Facts in LLMs Language models are few-shot learners

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:28:05.493475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 81b65b78-40d9-4935-942f-cae148cbe40c · outbound

This paper cites Truth is Universal: Robust Detection of Lies in LLMs.

From Directions to Cones: Exploring Multidimensional Representations of Propositional Facts in LLMs Truth is Universal: Robust Detection of Lies in LLMs

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T13:28:00.302815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47991700-91e9-4e72-a7a8-5e1b57044454 · outbound

This paper cites an unresolved cited work.

From Directions to Cones: Exploring Multidimensional Representations of Propositional Facts in LLMs Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T13:28:00.391564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 150ca2d8-b181-44ed-bc01-89d9371d6a02 · outbound

This paper cites C., Lundberg, S.

From Directions to Cones: Exploring Multidimensional Representations of Propositional Facts in LLMs C., Lundberg, S

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T13:28:00.514448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8307d388-da22-4023-bb8a-0b27a7263393 · outbound

This paper cites From Yes-Men to Truth-Tellers: Addressing Sycophancy in Large Language Models with Pinpoint Tuning.

From Directions to Cones: Exploring Multidimensional Representations of Propositional Facts in LLMs From Yes-Men to Truth-Tellers: Addressing Sycophancy in Large Language Models with Pinpoint Tuning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T13:28:00.576395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d62b86c-66df-4e49-8179-8f6d8daeb7ab · outbound

This paper cites Sparse Autoencoders Find Highly Interpretable Features in Language Models.

From Directions to Cones: Exploring Multidimensional Representations of Propositional Facts in LLMs Sparse Autoencoders Find Highly Interpretable Features in Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T13:28:00.629640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 879689ee-382a-4dd8-8543-74caa120033b · outbound

This paper cites Toy Models of Superposition.

From Directions to Cones: Exploring Multidimensional Representations of Propositional Facts in LLMs Toy Models of Superposition

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T13:28:00.704798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44a87f73-8562-4a2b-98f8-8fb523dc1847 · outbound

This paper cites Not All Language Model Features Are One-Dimensionally Linear.

From Directions to Cones: Exploring Multidimensional Representations of Propositional Facts in LLMs Not All Language Model Features Are One-Dimensionally Linear

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T13:28:00.819179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b640db2b-7daf-4a19-9da9-e08abb8412bc · outbound

This paper cites Sequential integrated gradients: A simple but effective method for explaining language models.

From Directions to Cones: Exploring Multidimensional Representations of Propositional Facts in LLMs Sequential integrated gradients: A simple but effective method for explaining language models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T13:28:00.901866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45f21513-9c7a-4bc1-a9ee-dca34c421494 · outbound

This paper cites and Tegmark, M.

From Directions to Cones: Exploring Multidimensional Representations of Propositional Facts in LLMs and Tegmark, M

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:28:05.351687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bec5cdc0-ee92-4958-b014-b4345c467e14 · outbound

This paper cites X-Risk Analysis for AI Research.

From Directions to Cones: Exploring Multidimensional Representations of Propositional Facts in LLMs X-Risk Analysis for AI Research

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T13:28:01.051898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d2c3955-327f-44b5-88eb-8603bc507b99 · outbound

This paper cites An Overview of Catastrophic AI Risks.

From Directions to Cones: Exploring Multidimensional Representations of Propositional Facts in LLMs An Overview of Catastrophic AI Risks

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T13:28:01.117390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 189a364b-e6a2-44fa-ad62-842051410f85 · outbound

This paper cites Do LLMs "know" internally when they follow instructions?.

From Directions to Cones: Exploring Multidimensional Representations of Propositional Facts in LLMs Do LLMs "know" internally when they follow instructions?

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T13:28:01.184746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1e00696-6307-4123-8077-4a8cfe9e000c · outbound

This paper cites and Manning, C.

From Directions to Cones: Exploring Multidimensional Representations of Propositional Facts in LLMs and Manning, C

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T13:28:01.280948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20956f71-d4aa-4f50-a5e4-5565a7e8d1a0 · outbound

This paper cites Refusal Behavior in Large Language Models: A Nonlinear Perspective.

From Directions to Cones: Exploring Multidimensional Representations of Propositional Facts in LLMs Refusal Behavior in Large Language Models: A Nonlinear Perspective

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T13:28:01.376676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3adb0171-8940-4338-af2c-280c251ded82 · outbound

This paper cites Linear representations of political perspective emerge in large language models.

From Directions to Cones: Exploring Multidimensional Representations of Propositional Facts in LLMs Linear representations of political perspective emerge in large language models

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:28:05.198168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6be96987-204d-4e99-bb48-22ea76ceb463 · outbound

This paper cites Generating Wikipedia by Summarizing Long Sequences.

From Directions to Cones: Exploring Multidimensional Representations of Propositional Facts in LLMs Generating Wikipedia by Summarizing Long Sequences

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T13:28:01.546143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7521b11d-60ca-42cf-b55c-9cb52c43d05b · outbound

This paper cites Cones: Concept Neurons in Diffusion Models for Customized Generation.

From Directions to Cones: Exploring Multidimensional Representations of Propositional Facts in LLMs Cones: Concept Neurons in Diffusion Models for Customized Generation

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T13:28:01.636198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 534da651-1afe-434e-94d6-4f91f0eed78a · outbound

This paper cites and Tegmark, M.

From Directions to Cones: Exploring Multidimensional Representations of Propositional Facts in LLMs and Tegmark, M

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:28:05.039213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 31bef590-c80b-4d06-a4c4-dc138bf82863 · outbound

This paper cites Linguistic regularities in continuous space word representations.

From Directions to Cones: Exploring Multidimensional Representations of Propositional Facts in LLMs Linguistic regularities in continuous space word representations

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:28:04.845890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7ff1b04c-c0e8-4365-9969-ff6cb2bf4baf · outbound

This paper cites Progress measures for grokking via mechanistic interpretability.

From Directions to Cones: Exploring Multidimensional Representations of Propositional Facts in LLMs Progress measures for grokking via mechanistic interpretability

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T13:28:01.830836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69e0e3d4-2040-4c0b-8b68-1c21e8c6a2e8 · outbound

This paper cites The Alignment Problem from a Deep Learning Perspective.

From Directions to Cones: Exploring Multidimensional Representations of Propositional Facts in LLMs The Alignment Problem from a Deep Learning Perspective

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T13:28:01.897413Z

Source-reported events for the cited work

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Observation 3f14723c-d7dd-4310-8bdf-9fe7907fc36c · outbound

This paper cites Zoom in: An introduction to circuits.

From Directions to Cones: Exploring Multidimensional Representations of Propositional Facts in LLMs Zoom in: An introduction to circuits

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T13:28:01.971422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 280d9657-6672-4751-aa26-de164f877fec · outbound

This paper cites Introducing chatgpt.

From Directions to Cones: Exploring Multidimensional Representations of Propositional Facts in LLMs Introducing chatgpt

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:28:04.603896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c182496d-3a5d-4581-bbbb-3a7b3b4b7f8a · outbound

This paper cites GPT-4 Technical Report.

From Directions to Cones: Exploring Multidimensional Representations of Propositional Facts in LLMs GPT-4 Technical Report

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T13:28:02.152213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b880fcf9-89e8-40eb-98bf-2124960c0a40 · outbound

This paper cites Steering Llama 2 via Contrastive Activation Addition.

From Directions to Cones: Exploring Multidimensional Representations of Propositional Facts in LLMs Steering Llama 2 via Contrastive Activation Addition

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T13:28:02.231534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2b3b2bd-9093-41ae-885c-7e3d3ad3923b · outbound

This paper cites J., and Veitch, V.

From Directions to Cones: Exploring Multidimensional Representations of Propositional Facts in LLMs J., and Veitch, V

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:28:04.344325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6fe8b3b4-6cf5-4d74-8ba9-d3f3299f07a6 · outbound

This paper cites J., and Veitch, V.

From Directions to Cones: Exploring Multidimensional Representations of Propositional Facts in LLMs J., and Veitch, V

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:28:04.198623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 02d4f182-f88c-4868-9eaa-4269cb04c415 · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.

From Directions to Cones: Exploring Multidimensional Representations of Propositional Facts in LLMs Exploring the limits of transfer learning with a unified text-to-text transformer

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:28:04.004943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c6868f84-7684-41fa-96b3-74aaba9385cf · outbound

This paper cites Taking features out of superposition with sparse autoencoders.

From Directions to Cones: Exploring Multidimensional Representations of Propositional Facts in LLMs Taking features out of superposition with sparse autoencoders

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:28:03.864329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6d86993c-a819-4464-a0ea-f01d9452022c · outbound

This paper cites Linear Representations of Sentiment in Large Language Models.

From Directions to Cones: Exploring Multidimensional Representations of Propositional Facts in LLMs Linear Representations of Sentiment in Large Language Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T13:28:02.642217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation adcd7c41-c26a-4d98-b165-315dda00ac13 · outbound

This paper cites Steering Language Models With Activation Engineering.

From Directions to Cones: Exploring Multidimensional Representations of Propositional Facts in LLMs Steering Language Models With Activation Engineering

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T13:28:02.713799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 730d33af-c380-4eea-8850-c5f8800af299 · outbound

This paper cites and Pinter, Y.

From Directions to Cones: Exploring Multidimensional Representations of Propositional Facts in LLMs and Pinter, Y

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T13:28:02.799647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5322eb23-947a-465a-b16b-07f53fafbde0 · outbound

This paper cites a ger, T., Elstner, J., Geisler, S., Cohen-Addad, V., G \.

From Directions to Cones: Exploring Multidimensional Representations of Propositional Facts in LLMs a ger, T., Elstner, J., Geisler, S., Cohen-Addad, V., G \

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T13:28:02.852685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c854ce80-596c-465a-be17-4825780764a1 · outbound

This paper cites an unresolved cited work.

From Directions to Cones: Exploring Multidimensional Representations of Propositional Facts in LLMs Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:28:03.692562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

Observation f5c4d94f-9caa-4c5e-8b5b-e722938ad976 · inbound

The Geometry of Harmfulness in LLMs through Subconcept Probing cites this paper.

The Geometry of Harmfulness in LLMs through Subconcept Probing From Directions to Cones: Exploring Multidimensional Representations of Propositional Facts in LLMs

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T15:01:47.847228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00337ba7-24a4-419a-acf8-a0fe04d10442 · inbound

Pressure-Testing Deception Probes in LLMs: Scaling, Robustness, and the Geometry of Deceptive Representations cites this paper.

Pressure-Testing Deception Probes in LLMs: Scaling, Robustness, and the Geometry of Deceptive Representations From Directions to Cones: Exploring Multidimensional Representations of Propositional Facts in LLMs

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-06-29T12:43:25.524172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ad0b3e54-1d75-4654-8f30-753db6ba14cc · inbound

ToxiREX: A Dataset on Toxic REasoning in ConteXt cites this paper.

ToxiREX: A Dataset on Toxic REasoning in ConteXt From Directions to Cones: Exploring Multidimensional Representations of Propositional Facts in LLMs

Reference 296

Resolution: verified exact; arxiv_id, observed 2026-06-29T04:43:06.981762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.