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Paper Citation Record · LEDGER

How Far Do Simple Transformations Translate Across Text Embedding Models?

As of 15 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 2026-08-15T06:32:42.880941+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

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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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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

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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

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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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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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

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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

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Unavailable: canonical work link unavailable.

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

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

Reference 8

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Source-reported events for the cited work

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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

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Source-reported events for the cited work

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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

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Source-reported events for the cited work

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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

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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

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Source-reported events for the cited work

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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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

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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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

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Source-reported events for the cited work

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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

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Source-reported events for the cited work

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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

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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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

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Source-reported events for the cited work

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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

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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
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Source-reported events for the cited work

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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

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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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

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verified fuzzy
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Source-reported events for the cited work

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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

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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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

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Source-reported events for the cited work

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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

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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

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Pith citing papers

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