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Paper Citation Record · LEDGER

SDA: Simple Discrete Augmentation for Contrastive Sentence Representation Learning

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2210.03963.

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

pith.paper-citation-record.v1
2210.03963 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:58:04.807213Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T01:06:19.756684Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • 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 419edbf4-527e-4277-9065-1fefbd1ada42 · inbound

Large Language Models for Zero-Shot Multicultural Name Recognition cites this paper.

Large Language Models for Zero-Shot Multicultural Name Recognition SDA: Simple Discrete Augmentation for Contrastive Sentence Representation Learning

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T19:57:06.104809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:57:06.104809Z digest=sha256:74847fa790ccf3b6c73f481c251a767bbf07eabe0aabf031e00a64a09c3c492f

Observation a18d5673-de44-4be3-89d3-fd2fed68f536 · inbound

LVLM-Composer's Explicit Planning for Image Generation cites this paper.

LVLM-Composer's Explicit Planning for Image Generation SDA: Simple Discrete Augmentation for Contrastive Sentence Representation Learning

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T19:58:04.807213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:58:04.807213Z digest=sha256:d8ece4cce48ad6b013ceb177dd5e4830608815e043f7fbd8faaf4b41d13123de

Observation 157f1484-fb01-4970-b7fb-ebe9fd6d1c6c · inbound

VisuCraft: Enhancing Large Vision-Language Models for Complex Visual-Guided Creative Content Generation via Structured Information Extraction cites this paper.

VisuCraft: Enhancing Large Vision-Language Models for Complex Visual-Guided Creative Content Generation via Structured Information Extraction SDA: Simple Discrete Augmentation for Contrastive Sentence Representation Learning

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T04:53:36.479833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:53:36.479833Z digest=sha256:58d385566e232a8038325db1e16dca36fe626c10a4f1e426c86093e0ae039524

Observation 887e4c50-0eb6-4f78-b19d-944a96cb3107 · inbound

LumiGen: An LVLM-Enhanced Iterative Framework for Fine-Grained Text-to-Image Generation cites this paper.

LumiGen: An LVLM-Enhanced Iterative Framework for Fine-Grained Text-to-Image Generation SDA: Simple Discrete Augmentation for Contrastive Sentence Representation Learning

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T01:06:39.962276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T01:06:39.962276Z digest=sha256:616f57e82c7ab67bc5c235a3708a30fb3cd227a1cf94b34ded592e875b206d22

Observation 06b95787-43aa-420e-a413-6b518153a092 · inbound

MM-FusionNet: Context-Aware Dynamic Fusion for Multi-modal Fake News Detection with Large Vision-Language Models cites this paper.

MM-FusionNet: Context-Aware Dynamic Fusion for Multi-modal Fake News Detection with Large Vision-Language Models SDA: Simple Discrete Augmentation for Contrastive Sentence Representation Learning

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-08-06T01:06:19.760495Z

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=2026-08-06T01:06:19.636442Z digest=sha256:3f63cf4f1ce696c336b5e54ecfb0d6769490625ce6d823d2f10e58ed25838523