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Paper Citation Record · LEDGER

Language Models Implement Simple Word2Vec-style Vector Arithmetic

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2305.16130.

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

pith.paper-citation-record.v1
2305.16130 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:58:18.286926Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T22:54:01.538379Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
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  • 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 72042b22-0d79-4d5c-8ad6-8179ff34cd9d · inbound

Steering Language Models With Activation Engineering cites this paper.

Steering Language Models With Activation Engineering Language Models Implement Simple Word2Vec-style Vector Arithmetic

Reference 92

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:14:14.893363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-11T00:14:14.079351Z digest=sha256:d493c629d81a084ed931b7e648fc01161d30758bee5af17a20b61295f55d6d84

Observation 088c98b9-8cf2-4161-820a-1d0ae84acfa5 · inbound

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

Towards Best Practices of Activation Patching in Language Models: Metrics and Methods Language Models Implement Simple Word2Vec-style Vector Arithmetic

Reference 101

Resolution
verified exact
arxiv_id, observed 2026-05-17T11:56:11.187042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-17T11:56:11.053897Z digest=sha256:ff2e6d6fe1113de0469eab3704924af34414edc1f0ada86ddad3f059b4b73dd3

Observation 7b371db0-ad76-4b87-87b5-b8032b97ddfe · inbound

The Linear Representation Hypothesis and the Geometry of Large Language Models cites this paper.

The Linear Representation Hypothesis and the Geometry of Large Language Models Language Models Implement Simple Word2Vec-style Vector Arithmetic

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:43:30.950053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-11T21:43:28.274354Z digest=sha256:f47b941dc027b450c6337042dc0b6ba3cbc17300757f4728349b7d6e053f648d

Observation a16b5ac4-da26-403c-aae3-7f3d167470af · inbound

Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline cites this paper.

Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline Language Models Implement Simple Word2Vec-style Vector Arithmetic

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T13:58:18.286926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:58:18.286926Z digest=sha256:a186913e6c43e6b77f86603de0136065e9dfc1190c8af59184f4e8a3444d7bfe

Observation c67925a3-5da0-4d95-8f55-64ccc4570217 · inbound

SkipGPT: Dynamic Layer Pruning Reinvented with Token Awareness and Module Decoupling cites this paper.

SkipGPT: Dynamic Layer Pruning Reinvented with Token Awareness and Module Decoupling Language Models Implement Simple Word2Vec-style Vector Arithmetic

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T10:51:51.572272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:51:51.572272Z digest=sha256:2a1a196eb8c0d6cdfde8716a7ceb39f0d19b150e88ffa106c57c27f505169663

Observation f5fe3417-be6e-470d-9a91-12909a66c1ae · inbound

Linear Relational Decoding of Morphology in Language Models cites this paper.

Linear Relational Decoding of Morphology in Language Models Language Models Implement Simple Word2Vec-style Vector Arithmetic

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T15:59:11.173153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:59:11.173153Z digest=sha256:ab0fd8e1d4423c046fd1de94539e084045646a8c4249b9bb6f8f0f2dfdd7928f

Observation 0a9b24fd-0d51-4178-8f14-e357930dbe82 · inbound

Train Once, Reuse Everywhere: Generalizable Implicit In-Context Learning by Routing Attention cites this paper.

Train Once, Reuse Everywhere: Generalizable Implicit In-Context Learning by Routing Attention Language Models Implement Simple Word2Vec-style Vector Arithmetic

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-04T14:50:23.166106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T14:50:23.166106Z digest=sha256:384524d0941f239633d1c750e8bf2d6339e28adaf771350d5fd6d21fc890e6ee

Observation 67c11a7f-f8ec-4386-a935-0a9c587a5c75 · inbound

Localizing Task Recognition and Task Learning in In-Context Learning via Attention Head Analysis cites this paper.

Localizing Task Recognition and Task Learning in In-Context Learning via Attention Head Analysis Language Models Implement Simple Word2Vec-style Vector Arithmetic

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-18T13:31:25.546382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-18T13:26:59.080330Z digest=sha256:b723065c5a4430f713ee8cda397962d9cc7ddd12deff491c3c8d1ccb322576e2

Observation d6f5686c-113d-4341-8b9f-299d051fdedd · inbound

How Do Language Models Compose Functions? cites this paper.

How Do Language Models Compose Functions? Language Models Implement Simple Word2Vec-style Vector Arithmetic

Reference 28

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T11:06:17.632378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-18T11:04:09.179536Z digest=sha256:7a6e062262fef6d2bbe0a8a4a72427f91bd8f52c5d9171c51a272dfdddc443a1

Observation 07a963fc-4756-4253-bc3e-84e4844a0bcc · inbound

Vocab Diet: Reshaping the Vocabulary of LLMs via Vector Arithmetic cites this paper.

Vocab Diet: Reshaping the Vocabulary of LLMs via Vector Arithmetic Language Models Implement Simple Word2Vec-style Vector Arithmetic

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-18T05:55:56.664845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-18T05:54:04.948619Z digest=sha256:cc9853842a7733ede465509af1cc1f4ecc968bb69f464300e7b010a21ce907b2

Observation 686b7729-274a-4927-9c13-3ec514a68135 · inbound

Disentangling Mathematical Reasoning in LLMs: A Methodological Investigation of Internal Mechanisms cites this paper.

Disentangling Mathematical Reasoning in LLMs: A Methodological Investigation of Internal Mechanisms Language Models Implement Simple Word2Vec-style Vector Arithmetic

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T08:58:12.766933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T08:53:30.930960Z digest=sha256:bdb3fe857aff288f003be46148847ad1d101df0b25aecd4c55955c14dcfa2dee

Observation 832043fd-3cac-4bb1-951c-21a300ca8763 · inbound

GeoMathCode: Understanding Interleaved Math-Code Reasoning for Geometry Problem Solving cites this paper.

GeoMathCode: Understanding Interleaved Math-Code Reasoning for Geometry Problem Solving Language Models Implement Simple Word2Vec-style Vector Arithmetic

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-06-29T22:54:01.539811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-29T22:44:39.024780Z digest=sha256:0d4612dd081a7eeb1cfee5747348baf45b05560b8f5c8250033ff528bba1324a

Observation 0f1febfe-fe72-4f86-aa0c-a8f8fe0307e1 · inbound

Verbalizable Representations Form a Global Workspace in Language Models cites this paper.

Verbalizable Representations Form a Global Workspace in Language Models Language Models Implement Simple Word2Vec-style Vector Arithmetic

Reference 109

Resolution
unresolved
no resolver link, observed 2026-08-01T23:15:30.630892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:15:30.630892Z digest=sha256:d133904b5636f2b231ca6ae324b0b8b4ab3806fa8372a1195510324e6354a863