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Paper Citation Record · LEDGER

Whitening Sentence Representations for Better Semantics and Faster Retrieval

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 inbound Pith citation observations for arXiv:2103.15316.

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

pith.paper-citation-record.v1
2103.15316 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 21 of 21 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 21 of 21 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:49:16.059071Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T18:56:27.275411Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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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 2da9506a-bfc4-4326-9a37-7446ce9aa2b8 · inbound

SimCSE: Simple Contrastive Learning of Sentence Embeddings cites this paper.

SimCSE: Simple Contrastive Learning of Sentence Embeddings Whitening Sentence Representations for Better Semantics and Faster Retrieval

Reference 64

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T07:48:23.418675Z

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=2026-05-15T07:48:23.186825Z digest=sha256:78ba0af04957b1463101ccad85e90040449fdbb400346f9c8c33f498d74ab400

Observation 53b18c2b-714e-40d2-87af-8606f538617c · inbound

Text and Code Embeddings by Contrastive Pre-Training cites this paper.

Text and Code Embeddings by Contrastive Pre-Training Whitening Sentence Representations for Better Semantics and Faster Retrieval

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-15T19:24:12.078123Z

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=2026-05-15T19:24:11.907204Z digest=sha256:0b3f06169abdf2e27d5186bb91a92ddd2571d2837bf74da56f0cc059f9ee503b

Observation c84b3ece-50e4-4958-a089-a1f81e538181 · inbound

Towards General Text Embeddings with Multi-stage Contrastive Learning cites this paper.

Towards General Text Embeddings with Multi-stage Contrastive Learning Whitening Sentence Representations for Better Semantics and Faster Retrieval

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-12T03:33:45.974398Z

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=2026-05-12T03:33:45.855974Z digest=sha256:0bf50cbf7f32f5f65fd766d2d9e277550e6adedfd12a65ce75fd73c53436ab55

Observation b9ea30d5-e201-4151-bb6d-0b8891bf5227 · inbound

Redundancy, Isotropy, and Intrinsic Dimensionality of Prompt-based Text Embeddings cites this paper.

Redundancy, Isotropy, and Intrinsic Dimensionality of Prompt-based Text Embeddings Whitening Sentence Representations for Better Semantics and Faster Retrieval

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-07T11:49:16.059071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:49:16.059071Z digest=sha256:f92988e538545981bfc62b24d5a8eb03936cd1282adb058af34371e21d39d612

Observation 91a5cf67-c761-4283-9d32-c59767ebe75e · inbound

S2Sent: Nested Selectivity Aware Sentence Representation Learning cites this paper.

S2Sent: Nested Selectivity Aware Sentence Representation Learning Whitening Sentence Representations for Better Semantics and Faster Retrieval

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-05T16:38:47.901803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:38:47.901803Z digest=sha256:e3988d75cd0013024e153b7d4422697a57057cd6f68d0745101743ea6e3b45f5

Observation 2209ec3e-f3dd-4d54-a562-79e81acd4c52 · inbound

Spectral Tempering for Embedding Compression in Dense Passage Retrieval cites this paper.

Spectral Tempering for Embedding Compression in Dense Passage Retrieval Whitening Sentence Representations for Better Semantics and Faster Retrieval

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-15T08:59:53.084546Z

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=2026-05-15T08:57:36.201292Z digest=sha256:dd4c6d6127ed628e79b17d2d649216fe907d3656c835104b86306b547bb37d8a

Observation c0bf0694-1e2a-4a74-a384-792f07516eaa · inbound

REZE: Representation Regularization for Domain-adaptive Text Embedding Pre-finetuning cites this paper.

REZE: Representation Regularization for Domain-adaptive Text Embedding Pre-finetuning Whitening Sentence Representations for Better Semantics and Faster Retrieval

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:16:20.983692Z

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=2026-05-10T06:14:28.893342Z digest=sha256:8870156626ba30ff725203515ea749826bad05ca61426cb3881bc0798de012b5

Observation aa427771-8732-422a-b1b5-df1967de804a · inbound

ASPIRE: Make Spectral Graph Collaborative Filtering Great Again via Adaptive Filter Learning cites this paper.

ASPIRE: Make Spectral Graph Collaborative Filtering Great Again via Adaptive Filter Learning Whitening Sentence Representations for Better Semantics and Faster Retrieval

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-11T20:11:09.808474Z

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=2026-05-08T10:08:23.857683Z digest=sha256:30141b9365e65f42d38b2fd05ba3e9019d3e2ee35725baa5a9c9c344d5054207

Observation 8b7f0dbc-8692-4213-8e16-892589a6395b · inbound

Concepts Whisper While Syntax Shouts: Spectral Anti-Concentration and the Dual Geometry of Transformer Representations cites this paper.

Concepts Whisper While Syntax Shouts: Spectral Anti-Concentration and the Dual Geometry of Transformer Representations Whitening Sentence Representations for Better Semantics and Faster Retrieval

Reference 41

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T16:51:08.247479Z

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=2026-05-09T14:42:36.036836Z digest=sha256:7a8b13450ca3a6d8ec9a5fab25724935dedd60aa9afedab7b3a6f579d4bac4c6

Observation 88160dd5-2897-4418-9756-df4373f968c6 · inbound

Context Memorization for Efficient Long Context Generation cites this paper.

Context Memorization for Efficient Long Context Generation Whitening Sentence Representations for Better Semantics and Faster Retrieval

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-20T10:43:12.615951Z

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=2026-05-20T10:39:09.720412Z digest=sha256:9a56d30987b753fd47d57682524b216aa123c647ab01e346f66810cf42bf0dc1

Observation c7ffc003-b53a-4b69-b066-cb773f2c6e2f · inbound

CrossAlpha: An Annual-Report Benchmark for Cross-Market Factor Researc (with LLM Agents) cites this paper.

CrossAlpha: An Annual-Report Benchmark for Cross-Market Factor Researc (with LLM Agents) Whitening Sentence Representations for Better Semantics and Faster Retrieval

Reference 5

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T06:03:08.612322Z

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=2026-06-29T05:57:51.717301Z digest=sha256:6d0c16b32b03a633fb7dcf9a5c4efc7df8b14cd237eafc4189657b2fc2733989

Observation 7d3da15d-024f-469b-9958-283f7a585e8e · inbound

Your UnEmbedding Matrix is Secretly a Feature Lens for Text Embeddings cites this paper.

Your UnEmbedding Matrix is Secretly a Feature Lens for Text Embeddings Whitening Sentence Representations for Better Semantics and Faster Retrieval

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-07-02T17:27:15.423898Z

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=2026-06-27T22:01:37.613094Z digest=sha256:04efa5d7f63307272c6209733231cb89c996315075fc1d4bd5fb8b0a3fbd3871

Observation 579058e4-63ad-4ce0-a108-399cbcc3c988 · inbound

Correlation Is Not Enough: Embedding Human Metadata for Individual Causal Discovery cites this paper.

Correlation Is Not Enough: Embedding Human Metadata for Individual Causal Discovery Whitening Sentence Representations for Better Semantics and Faster Retrieval

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-07-03T01:27:31.226217Z

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=2026-06-27T16:32:04.159923Z digest=sha256:1b1e14a151d72beb95002848ccccb441fc50e79cbe8d17099d3fe9cee3571741

Observation 629fed90-e484-4d6f-bdc1-c78a25c05288 · inbound

Semantic Identification of IoT Devices from Behavioral Primitives cites this paper.

Semantic Identification of IoT Devices from Behavioral Primitives Whitening Sentence Representations for Better Semantics and Faster Retrieval

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-07-03T14:48:32.936606Z

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=2026-06-27T06:54:13.235844Z digest=sha256:6449b2cfd51d87e8b05f28fd9aa9e192ffa637bde5af9e677b342e9dcfcd4a61

Observation 438ae794-83c2-41d9-8505-b0b68e00eedf · inbound

MODE-RAG: Manifold Outlier Diagnosis and Energy-based Retrieval-Augmented Generation Evaluation cites this paper.

MODE-RAG: Manifold Outlier Diagnosis and Energy-based Retrieval-Augmented Generation Evaluation Whitening Sentence Representations for Better Semantics and Faster Retrieval

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-07-03T20:08:56.376426Z

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=2026-06-27T01:35:46.913390Z digest=sha256:9d5cde96fce37df506a8d0e7e63ca9fc9f025272c938090101cc1abfa813eedd

Observation 1ba666fd-58e9-4a2c-95f7-86ddda93d2ac · inbound

When Global Gating Is Enough: Admission-Time Hubness Control in Anisotropic Vector Retrieval Systems cites this paper.

When Global Gating Is Enough: Admission-Time Hubness Control in Anisotropic Vector Retrieval Systems Whitening Sentence Representations for Better Semantics and Faster Retrieval

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-07-04T03:59:32.971525Z

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=2026-06-26T17:28:25.041453Z digest=sha256:25beeab0ff728a8b17e86e81a1168b94bd1e7128d9963d9b0503400f0f47eb32

Observation 96d3cef1-f5dd-46cc-9830-46f827e7173b · inbound

The Hitchhiker's Guide to Agentic AI: From Foundations to Systems cites this paper.

The Hitchhiker's Guide to Agentic AI: From Foundations to Systems Whitening Sentence Representations for Better Semantics and Faster Retrieval

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-07-04T11:09:46.142467Z

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=2026-06-26T08:09:57.542558Z digest=sha256:9451e1c8c9cbdee487fc2d03bd6c60db0f5bd293fddc54b51c2694ba01d2e43a

Observation 702dccb7-4de2-4f7c-96d1-7b1d0a8e1354 · inbound

The Hitchhiker's Guide to Agentic AI: From Foundations to Systems cites this paper.

The Hitchhiker's Guide to Agentic AI: From Foundations to Systems Whitening Sentence Representations for Better Semantics and Faster Retrieval

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-02T10:27:16.252188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T10:27:16.252188Z digest=sha256:147a23e18abda22d36c5b92fd1345798e32c1ecba2eb121903ec93e86fe82177

Observation 50e0de86-ad5e-41ba-b7cf-5155ebea51e6 · inbound

Semantic Code Clone Detection: Are We There Yet? cites this paper.

Semantic Code Clone Detection: Are We There Yet? Whitening Sentence Representations for Better Semantics and Faster Retrieval

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-07-04T20:00:08.823154Z

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=2026-06-25T20:48:32.966076Z digest=sha256:01032ca05106b72875e63ed9ed7ae2b1f765b9371727b8eccfc9a43ef1bdde7c

Observation 8740224e-0f6c-4569-af02-e4862e7098ff · inbound

Anisotropy Decides Cosine vs. Rank Metrics for Text Embeddings cites this paper.

Anisotropy Decides Cosine vs. Rank Metrics for Text Embeddings Whitening Sentence Representations for Better Semantics and Faster Retrieval

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-06-30T07:24:21.899380Z

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=2026-06-30T07:15:56.863129Z digest=sha256:4a588a9d6b8d1eb8c0e13a2e97104db69422794c58563836df1dbe14481d2dcf

Observation 433cbc1f-431f-472d-ae56-1ed13eb85cae · inbound

Recovering Latent Structures after Variational Bayesian Variable Selection: Fit Assessment and Factor-Number Selection in Partially Exploratory Factor Analysis cites this paper.

Recovering Latent Structures after Variational Bayesian Variable Selection: Fit Assessment and Factor-Number Selection in Partially Exploratory Factor Analysis Whitening Sentence Representations for Better Semantics and Faster Retrieval

Reference 196

Resolution
metadata mismatch
local_arxiv, observed 2026-07-09T18:56:27.276861Z

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=2026-07-09T18:49:59.233145Z digest=sha256:14f09e2703b3a1b83f3806c99e0a71a265222ffd8b8c3f51ed7b35aae340bfdc