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Paper Citation Record · LEDGER

Adaptable Embeddings Network (AEN)

As of 15 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2411.13786.

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

pith.paper-citation-record.v1
2411.13786 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:57:59.299903Z

measured 28 of 28 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

28 of 28 outbound references displayed

  • verified exact3
  • verified fuzzy1
  • unresolved23
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d7573772-d240-4dd3-9b60-37f8fc5bab1c · outbound

This paper cites Comprehensive Exploration of Synthetic Data Generation: A Survey.

Adaptable Embeddings Network (AEN) Comprehensive Exploration of Synthetic Data Generation: A Survey

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-12T15:57:59.177834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:57:59.177834Z digest=sha256:309d4631f5f4295f868615e472666ebdc482c65c54769db3c55a08fcedd57d29

Observation 1b0194e5-a023-4391-b0b1-b46ebc115e2c · outbound

This paper cites LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders.

Adaptable Embeddings Network (AEN) LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-12T15:57:59.183196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:57:59.183196Z digest=sha256:2c2f77e2398e3459c32ad81102f73b891790031126d8d49eac3772634ccb41e4

Observation a84d36dc-74d4-41ca-9738-119c2e0b3dc6 · outbound

This paper cites Language Models are Few-Shot Learners.

Adaptable Embeddings Network (AEN) Language Models are Few-Shot Learners

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-12T15:57:59.188319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:57:59.188319Z digest=sha256:edae7335e6899f8a77cce3efdc8c4455e9785cbe84c1ea97d7c0199fad028d16

Observation 7a1da361-b80b-4643-b785-716e896b18b9 · outbound

This paper cites Universal Sentence Encoder.

Adaptable Embeddings Network (AEN) Universal Sentence Encoder

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-12T15:57:59.193782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:57:59.193782Z digest=sha256:9b467b0dcde729ac66a285bcf4b87987ac1d330be4bfda5a59ad9230c8e7dbce

Observation e47efa16-377a-4a07-8c12-1598d1364833 · outbound

This paper cites A Tutorial on Kernel Density Estimation and Recent Advances.

Adaptable Embeddings Network (AEN) A Tutorial on Kernel Density Estimation and Recent Advances

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-12T15:57:59.198530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:57:59.198530Z digest=sha256:3673724ae6cb0d2bd7db187978b1ec5955cda720db654979370a38867ffeb3c1

Observation e1808d4b-60c0-47b7-a303-81e65b253977 · outbound

This paper cites an unresolved cited work.

Adaptable Embeddings Network (AEN) Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-12T15:57:59.817503Z

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.

source=arxiv_source observed=2026-08-12T15:57:59.203818Z digest=sha256:673c29b8bd1f47b4a3dea66e69c0971d2912eab117252d9cf6db76b47053f755

Observation 3d66badc-b626-4f4e-a003-05ab756ede86 · outbound

This paper cites Supervised Learning of Universal Sentence Representations from Natural Language Inference Data.

Adaptable Embeddings Network (AEN) Supervised Learning of Universal Sentence Representations from Natural Language Inference Data

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-12T15:57:59.208788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:57:59.208788Z digest=sha256:bf69953acc905fce2c8940938caf53a50ad9251abf0aad99fdfa59238ea23d8b

Observation dbc3fa3d-8723-405e-ae86-57026931e37a · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Adaptable Embeddings Network (AEN) BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-12T15:57:59.213582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:57:59.213582Z digest=sha256:cce9d402d0030c46a76e27edb37adb7f1154323eefcbf06b1cc1b66c75ee9e21

Observation af0adece-d117-41f8-b2ab-71e45f5b5603 · outbound

This paper cites Learning thematic similarity metric from article sections using triplet networks.

Adaptable Embeddings Network (AEN) Learning thematic similarity metric from article sections using triplet networks

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-12T15:57:59.218341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:57:59.218341Z digest=sha256:62c3b957f7fb1b4898ad23227d6b7bbc04c6a650eab0b1a4ffb1605c6277c2de

Observation 60d2ee92-6954-49c0-9dd1-3279a20ca9ef · outbound

This paper cites an unresolved cited work.

Adaptable Embeddings Network (AEN) Unresolved cited work

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-12T15:57:59.223220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:57:59.223220Z digest=sha256:a9aab7fc943a81981ab532bf1d4a1ff03a2c627dd7511c4f9a90bd19c545d8a7

Observation 4fc13f3e-7c27-4f32-8513-70ce975154d8 · outbound

This paper cites Deep Learning.

Adaptable Embeddings Network (AEN) Deep Learning

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-12T15:57:59.227575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:57:59.227575Z digest=sha256:acae288819b4274f46828d9f3bd15292b220f4a31565f314bfde444dc8f64905

Observation 0ce82e5f-4444-4419-b48e-2a036219b6e3 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Adaptable Embeddings Network (AEN) LoRA: Low-Rank Adaptation of Large Language Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-12T15:57:59.231470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:57:59.231470Z digest=sha256:8ddb7eff6c2b8e167e56dcd3487c89cdae8161630024d9f8d1c94649ee4f27dd

Observation 8e9a6634-bc02-4a4a-94ff-c1c1767f2d2e · outbound

This paper cites SentimentGPT: Exploiting GPT for Advanced Sentiment Analysis and its Departure from Current Machine Learning.

Adaptable Embeddings Network (AEN) SentimentGPT: Exploiting GPT for Advanced Sentiment Analysis and its Departure from Current Machine Learning

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-12T15:57:59.235487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:57:59.235487Z digest=sha256:b670b94a7c1023ce6f8e2717aeb1558225ee87f0ec92a7ad7851d2bc24b609dc

Observation 3b99c89b-e464-4028-a4ac-6e796a9dc4a8 · outbound

This paper cites Small Language Models are Good Too: An Empirical Study of Zero-Shot Classification.

Adaptable Embeddings Network (AEN) Small Language Models are Good Too: An Empirical Study of Zero-Shot Classification

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-12T15:57:59.654964Z

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.

source=arxiv_source observed=2026-08-12T15:57:59.239773Z digest=sha256:c4b4b28a54f87ae2839a547286b478da0e3cd2b2c7e5fa78b6567ccb1b7d3e30

Observation 0614a211-128c-40e0-8531-b4ba006f5f9b · outbound

This paper cites A Guide to Similarity Measures.

Adaptable Embeddings Network (AEN) A Guide to Similarity Measures

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-12T15:57:59.243665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:57:59.243665Z digest=sha256:775acb104caaac307e55eb67ba74e247779bd758be6197e80ea5a51dd263c82e

Observation 9f3a7c26-eecd-49d2-9d72-99cebf813dfc · outbound

This paper cites Textbooks Are All You Need II: phi-1.5 technical report.

Adaptable Embeddings Network (AEN) Textbooks Are All You Need II: phi-1.5 technical report

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-12T15:57:59.247602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:57:59.247602Z digest=sha256:ca79abfd03b0a0b13d4536658e3afd9eced33793b4f6be85094757501c1fa855

Observation c4fb30f4-e00d-4b8c-a080-85a84b1431d3 · outbound

This paper cites When ai makes ai: Synthetic data, model distillation, and model collapse, 2024.

Adaptable Embeddings Network (AEN) When ai makes ai: Synthetic data, model distillation, and model collapse, 2024

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:57:59.788355Z

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.

source=arxiv_source observed=2026-08-12T15:57:59.251902Z digest=sha256:1bd4e79a50990e6f50ef5c0592cc6bf406adbb87416dd9bba5836eb5c308c75f

Observation 90482ed2-6c49-4c02-b369-832d9719e334 · outbound

This paper cites A Comprehensive Overview of Large Language Models.

Adaptable Embeddings Network (AEN) A Comprehensive Overview of Large Language Models

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-12T15:57:59.255780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:57:59.255780Z digest=sha256:225c12e87f2f8ed5de807bc1aafe3f6931db61afede66ffef933fd1ff8efcac0

Observation 6d6ce43c-b2b0-438b-94cb-3e0272fecc70 · outbound

This paper cites Generalized mean shift with triangular kernel profile.

Adaptable Embeddings Network (AEN) Generalized mean shift with triangular kernel profile

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-08-12T15:57:59.600258Z

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.

source=arxiv_source observed=2026-08-12T15:57:59.259974Z digest=sha256:9af32f6ff44ad069517f6c48b75062ee64b330d01b224e86d6a988ad05c1f3c9

Observation 34bf72f9-06a2-421f-afd6-15a8713221c2 · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

Adaptable Embeddings Network (AEN) Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-12T15:57:59.264002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:57:59.264002Z digest=sha256:ba9d4bc26ba34e70263046ac11c716aef63e2b66d16b028a57d11b0146998e58

Observation ce082455-6042-48d5-8745-ade2e6aedde5 · outbound

This paper cites A Sharp Fourier Inequality and the Epanechnikov Kernel.

Adaptable Embeddings Network (AEN) A Sharp Fourier Inequality and the Epanechnikov Kernel

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-08-12T15:57:59.570320Z

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.

source=arxiv_source observed=2026-08-12T15:57:59.268339Z digest=sha256:abd02f609a34e055174106937e24098ea86d16112d66d81f31a99af305c436a6

Observation a5dbf757-ac84-4faf-a8a6-68c390e2663a · outbound

This paper cites Facenet: A unified embedding for face recognition and clustering.

Adaptable Embeddings Network (AEN) Facenet: A unified embedding for face recognition and clustering

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-12T15:57:59.273110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:57:59.273110Z digest=sha256:e4377a2ab5b4673965432ded7e274640f29be5074d264657cdfbb158333de440

Observation cef872ea-96e7-47d4-8fa3-b87a64791866 · outbound

This paper cites Augmented SBERT: Data Augmentation Method for Improving Bi-Encoders for Pairwise Sentence Scoring Tasks.

Adaptable Embeddings Network (AEN) Augmented SBERT: Data Augmentation Method for Improving Bi-Encoders for Pairwise Sentence Scoring Tasks

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-12T15:57:59.277517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:57:59.277517Z digest=sha256:7b6aeff78b145691f7de5f081c503b0d8335839156419988f2702d79091032aa

Observation 1c7fe4ad-22ed-4d23-aa5f-6e4840c8bf4d · outbound

This paper cites Efficient Few-Shot Learning Without Prompts.

Adaptable Embeddings Network (AEN) Efficient Few-Shot Learning Without Prompts

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-12T15:57:59.281370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:57:59.281370Z digest=sha256:028e7006a8a1b06f5bb129d4fff05f7afd9c7af2babf2f2e095fe0a92b855743

Observation d3d6b099-a9ce-4e44-8e7e-734088c563ce · outbound

This paper cites Generating Faithful Synthetic Data with Large Language Models: A Case Study in Computational Social Science.

Adaptable Embeddings Network (AEN) Generating Faithful Synthetic Data with Large Language Models: A Case Study in Computational Social Science

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-12T15:57:59.285929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:57:59.285929Z digest=sha256:e65b2f2e1821b7d1bdaae91046a565628b497125c60dc14fce037df565c0c7ad

Observation f723b62d-ef31-460b-89bc-cde8bb3b3543 · outbound

This paper cites GPT-NER: Named Entity Recognition via Large Language Models.

Adaptable Embeddings Network (AEN) GPT-NER: Named Entity Recognition via Large Language Models

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-12T15:57:59.290741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:57:59.290741Z digest=sha256:3409534e0ee594cdcdc3383c5e3fa66140f8dc71ddbd83f5f2dd2996ccc742bc

Observation 18740d9f-8014-4006-95e8-432be34077dd · outbound

This paper cites Aggarwal, Jian Pei, and Yuanchun Zhou.

Adaptable Embeddings Network (AEN) Aggarwal, Jian Pei, and Yuanchun Zhou

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-12T15:57:59.294574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:57:59.294574Z digest=sha256:7ab04db83e559e6962125e78b9f81d713cf55de2888e5426b1e7b8026ca9c64e

Observation 4518ae30-4f02-4960-a513-ec5cef061eb2 · outbound

This paper cites A simple efficient density estimator that enables fast systematic search.

Adaptable Embeddings Network (AEN) A simple efficient density estimator that enables fast systematic search

Reference 28

Resolution
metadata mismatch
local_arxiv, observed 2026-08-12T15:57:59.348185Z

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.

source=arxiv_source observed=2026-08-12T15:57:59.299903Z digest=sha256:b5532b112e8dae557c6e3314efbc6b9ec746f61847ccdd7b5b192e479886576a

Pith citing papers

No inbound Pith citation observations are available.