Paper Citation Record · LEDGER

How Far Do Simple Transformations Translate Across Text Embedding Models?

As of 8 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2608.05980.

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

pith.paper-citation-record.v1
2608.05980 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T19:59:45.252420Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

27 of 27 outbound references displayed

verified exact1
verified fuzzy11
unresolved14
parse uncertain0
malformed identifier1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cb6ba2d3-b852-421c-976b-23f673352454 · outbound

This paper cites Revisiting Model Stitching to Compare Neural Representations.

How Far Do Simple Transformations Translate Across Text Embedding Models? Revisiting Model Stitching to Compare Neural Representations

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe5f9772-503d-490b-9fcc-f53655ea5979 · outbound

This paper cites an unresolved cited work.

How Far Do Simple Transformations Translate Across Text Embedding Models? Unresolved cited work

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T19:59:45.097775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7172162-0324-47ca-9271-bdfa5015357c · outbound

This paper cites an unresolved cited work.

How Far Do Simple Transformations Translate Across Text Embedding Models? Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-07T19:59:45.641555Z

Source-reported events for the cited work

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Observation a5af47dd-4fe0-4892-97a7-c79f8070dd91 · outbound

This paper cites Similarity of Neural Network Representa- tions Revisited.

How Far Do Simple Transformations Translate Across Text Embedding Models? Similarity of Neural Network Representa- tions Revisited

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:59:45.631046Z

Source-reported events for the cited work

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Observation da829537-4f47-4f09-9358-961d3a373a20 · outbound

This paper cites Latent Collaboration in Multi-Agent Systems.

How Far Do Simple Transformations Translate Across Text Embedding Models? Latent Collaboration in Multi-Agent Systems

Reference 5

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Source-reported events for the cited work

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Observation d05f44f5-0c27-4f5c-8be7-eaf9714c6d78 · outbound

This paper cites Enabling Agents to Communicate Entirely in Latent Space.

How Far Do Simple Transformations Translate Across Text Embedding Models? Enabling Agents to Communicate Entirely in Latent Space

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T19:59:45.118658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30b09267-668f-40fe-b48f-cbe9d7fcb312 · outbound

This paper cites A Survey on Latent Reasoning.

How Far Do Simple Transformations Translate Across Text Embedding Models? A Survey on Latent Reasoning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T19:59:45.122660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45f3a199-f4a0-449a-b255-c46839fa9397 · outbound

This paper cites an unresolved cited work.

How Far Do Simple Transformations Translate Across Text Embedding Models? Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-07T19:59:45.620758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 971ae73e-8288-4bbb-860c-0516b6f7c374 · outbound

This paper cites Understanding Image Representations by Measuring Their Equiv- ariance and Equivalence.

How Far Do Simple Transformations Translate Across Text Embedding Models? Understanding Image Representations by Measuring Their Equiv- ariance and Equivalence

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:59:45.609679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 867c52c1-08de-4ec9-ae82-a46fb6015e0f · outbound

This paper cites Similarity and Matching of Neural Network Representations.

How Far Do Simple Transformations Translate Across Text Embedding Models? Similarity and Matching of Neural Network Representations

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:59:45.598640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9d3ab4da-6ac6-4012-87fc-973499c1377e · outbound

This paper cites Offline bilingual word vectors, orthogonal transformations and the inverted softmax.

How Far Do Simple Transformations Translate Across Text Embedding Models? Offline bilingual word vectors, orthogonal transformations and the inverted softmax

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T19:59:45.144638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8de567e5-1d22-4c3e-ac2c-6af440d1e091 · outbound

This paper cites Relative representations enable zero-shot latent space communication.

How Far Do Simple Transformations Translate Across Text Embedding Models? Relative representations enable zero-shot latent space communication

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T19:59:45.148571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0206ba6b-49ed-4d69-a1be-453e6d573d56 · outbound

This paper cites On the Direct Alignment of Latent Spaces.

How Far Do Simple Transformations Translate Across Text Embedding Models? On the Direct Alignment of Latent Spaces

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:59:45.586772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 813a9678-79a2-47db-abfe-a4ac359bdbd0 · outbound

This paper cites Latent Space Translation via Semantic Alignment.

How Far Do Simple Transformations Translate Across Text Embedding Models? Latent Space Translation via Semantic Alignment

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:59:45.574770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6dfd675c-24a0-409f-bc3c-cc13009b2d4b · outbound

This paper cites Characterizing Linear Alignment Across Language Models.

How Far Do Simple Transformations Translate Across Text Embedding Models? Characterizing Linear Alignment Across Language Models

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-07T19:59:45.323491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 65f35c01-e611-497b-a11a-9072af8657af · outbound

This paper cites Latent Space Translation via Inverse Relative Projection.

How Far Do Simple Transformations Translate Across Text Embedding Models? Latent Space Translation via Inverse Relative Projection

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T19:59:45.163329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a8c7697-232e-4408-987b-bd45512cb7ff · outbound

This paper cites From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication.

How Far Do Simple Transformations Translate Across Text Embedding Models? From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T19:59:45.167142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66f51f14-71d3-49e1-addf-d99fb9923486 · outbound

This paper cites MTEB: Massive Text Embedding Benchmark.

How Far Do Simple Transformations Translate Across Text Embedding Models? MTEB: Massive Text Embedding Benchmark

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:59:45.564081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a459ae0a-d86f-426b-ade3-f9091ffac6ee · outbound

This paper cites Enevoldsen et al.MMTEB: Massive Multilingual Text Embedding Benchmark.

How Far Do Simple Transformations Translate Across Text Embedding Models? Enevoldsen et al.MMTEB: Massive Multilingual Text Embedding Benchmark

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:59:45.553412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0cfd471a-14a9-43d6-b101-c07d5281cfba · outbound

This paper cites Efficient Estimation of Word Representations in Vector Space.

How Far Do Simple Transformations Translate Across Text Embedding Models? Efficient Estimation of Word Representations in Vector Space

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T19:59:45.235020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a95d8aa-6efe-4dc8-b054-68e11dc8c94b · outbound

This paper cites Distributed Representations of Words and Phrases and Their Compositionality.

How Far Do Simple Transformations Translate Across Text Embedding Models? Distributed Representations of Words and Phrases and Their Compositionality

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:59:45.541433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a5cc4c1b-9b86-43ab-bb75-f127434b513b · outbound

This paper cites Word Translation without Parallel Data.

How Far Do Simple Transformations Translate Across Text Embedding Models? Word Translation without Parallel Data

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:59:45.529775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0d349c4f-014d-4f5c-a9d0-211f1f3d9dcc · outbound

This paper cites Analogies Explained: Towards Understanding Word Embed- dings.

How Far Do Simple Transformations Translate Across Text Embedding Models? Analogies Explained: Towards Understanding Word Embed- dings

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:59:45.518069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 78d9fe97-db52-4fb5-9d8a-96971e75a994 · outbound

This paper cites Wang et al.Text Embeddings by Weakly-Supervised Contrastive Pre-training.

How Far Do Simple Transformations Translate Across Text Embedding Models? Wang et al.Text Embeddings by Weakly-Supervised Contrastive Pre-training

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:59:45.506143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 53341de9-9858-42ac-a9a0-c9250be8d48d · outbound

This paper cites Hubs in Space: Popular Nearest Neighbors in High-Dimensional Data.

How Far Do Simple Transformations Translate Across Text Embedding Models? Hubs in Space: Popular Nearest Neighbors in High-Dimensional Data

Reference 25

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T19:59:45.494546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 717e4ada-9cbf-4718-84d7-f486166fde73 · outbound

This paper cites What makes ImageNet good for transfer learning?.

How Far Do Simple Transformations Translate Across Text Embedding Models? What makes ImageNet good for transfer learning?

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-07T19:59:45.130910Z

Source-reported events for the cited work

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Observation 420e7a46-dc20-4d0d-a237-b1a30a5c48f0 · outbound

This paper cites The Platonic Representation Hypothesis.

How Far Do Simple Transformations Translate Across Text Embedding Models? The Platonic Representation Hypothesis

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T19:59:45.106387Z

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Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.