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Paper Citation Record · LEDGER

DSMentor: Enhancing Data Science Agents with Curriculum Learning and Online Knowledge Accumulation

As of 18 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 3 inbound Pith citation observations for arXiv:2505.14163.

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

pith.paper-citation-record.v1
2505.14163 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:43:39.747424Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T22:18:45.189576Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T14:05:46.728870Z

Reference resolution

13 of 13 outbound references displayed

  • verified exact0
  • verified fuzzy4
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bd8c5069-ecb9-4bb0-af3b-ad4a5864dee0 · outbound

This paper cites Liying Cheng, Xingxuan Li, and Lidong Bing.

DSMentor: Enhancing Data Science Agents with Curriculum Learning and Online Knowledge Accumulation Liying Cheng, Xingxuan Li, and Lidong Bing

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:43:40.409354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:43:38.836172Z digest=sha256:f53a192392d9fc0397c685a85281a50c22dd01edcb7cc75c92ef55de2936d4e9

Observation 8d6a2f59-6a50-4fce-a96c-6e68e7a7bbd9 · outbound

This paper cites Data Interpreter: An LLM Agent For Data Science.

DSMentor: Enhancing Data Science Agents with Curriculum Learning and Online Knowledge Accumulation Data Interpreter: An LLM Agent For Data Science

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T15:43:39.083780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:43:39.083780Z digest=sha256:aaa37cb8e0c6327e0987c951db777e95f07d8ddc185d4b077ffe958a2875db2c

Observation 76bd4ba9-3974-4cf3-9ac5-371e35a066a6 · outbound

This paper cites Are LLMs Capable of Data-based Statistical and Causal Reasoning? Benchmarking Advanced Quantitative Reasoning with Data.

DSMentor: Enhancing Data Science Agents with Curriculum Learning and Online Knowledge Accumulation Are LLMs Capable of Data-based Statistical and Causal Reasoning? Benchmarking Advanced Quantitative Reasoning with Data

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T15:43:39.171811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:43:39.171811Z digest=sha256:787375ac147b68ed9063f66ab86ad4c87170e664102003b0e24b819fd36cf1bf

Observation e9f85e08-742a-41f3-b369-8c3814a5250c · outbound

This paper cites Conifer: Improving Complex Constrained Instruction-Following Ability of Large Language Models.

DSMentor: Enhancing Data Science Agents with Curriculum Learning and Online Knowledge Accumulation Conifer: Improving Complex Constrained Instruction-Following Ability of Large Language Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T15:43:39.468550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:43:39.468550Z digest=sha256:daa2e54d15fcb430ffabea038f01980255d5e41208dacb3c3e17c5091475d2a0

Observation 23a9d37c-682d-49bf-b918-82cc5a85db64 · outbound

This paper cites Benchmarking Data Science Agents.

DSMentor: Enhancing Data Science Agents with Curriculum Learning and Online Knowledge Accumulation Benchmarking Data Science Agents

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T15:43:39.747424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:43:39.747424Z digest=sha256:ba5da56cf630072d7077ec24836d8989c107c9d2ab7ad5b5b2c7de408ff3b852

Observation 3712b12b-44da-4a41-9787-4f802658c9da · outbound

This paper cites Generating Multidimensional Clusters With Support Lines.

DSMentor: Enhancing Data Science Agents with Curriculum Learning and Online Knowledge Accumulation Generating Multidimensional Clusters With Support Lines

Reference 2009

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T15:43:39.954536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:43:38.590659Z digest=sha256:67289bcf3fe99ca8415516cfb9c154693b81cbe3dcbe903cdb1d09f12bc807a8

Observation e1eeb7cf-e52a-4b23-8fba-cfc5135f03c6 · outbound

This paper cites Plug and Play Language Models: A Simple Approach to Controlled Text Generation.

DSMentor: Enhancing Data Science Agents with Curriculum Learning and Online Knowledge Accumulation Plug and Play Language Models: A Simple Approach to Controlled Text Generation

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-07T15:43:39.011367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:43:39.011367Z digest=sha256:d0293ea1de68979c642c9f54d268fd6142dd9b88f6f68e9dba1f987944058261

Observation 466af649-4077-4245-94ce-f299517097e9 · outbound

This paper cites Competence-based curriculum learning for neural machine translation.

DSMentor: Enhancing Data Science Agents with Curriculum Learning and Online Knowledge Accumulation Competence-based curriculum learning for neural machine translation

Reference 2018

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:43:40.335166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:43:39.231288Z digest=sha256:581cdd5017244315d65ee9759f9dc6ebde21ce58a2c726f2450188578c9b40bc

Observation 5bb1903b-e8fd-40b6-be01-d0f688beb593 · outbound

This paper cites Automatic curriculum learning for deep rl: A short survey.

DSMentor: Enhancing Data Science Agents with Curriculum Learning and Online Knowledge Accumulation Automatic curriculum learning for deep rl: A short survey

Reference 2019

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:43:40.209597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:43:39.340582Z digest=sha256:cf0dfb3fdc6788f9c61cb4feade1c573e869f8d9c6cc18a9e8c380462010a7a4

Observation 248ec29e-6ef9-4b4d-8f3d-695e2af2e12b · outbound

This paper cites Schmidt, Z.

DSMentor: Enhancing Data Science Agents with Curriculum Learning and Online Knowledge Accumulation Schmidt, Z

Reference 2021

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:43:40.095798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:43:39.406256Z digest=sha256:b020a2a2866951089e912cce30c9b3b1cbb6a11c51fd4f5d89810d03628df70c

Observation fdb19553-f098-46cc-ad80-8a18f422db83 · outbound

This paper cites Data-Copilot: Bridging Billions of Data and Humans with Autonomous Workflow.

DSMentor: Enhancing Data Science Agents with Curriculum Learning and Online Knowledge Accumulation Data-Copilot: Bridging Billions of Data and Humans with Autonomous Workflow

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-07T15:43:39.620803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:43:39.620803Z digest=sha256:90d57cb7f19e0d7faba9cc24b682c6fc71a2840aff6eea0c7a48d8587b610d61

Observation f0e7a693-9899-47ed-872c-c41d6a05b908 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

DSMentor: Enhancing Data Science Agents with Curriculum Learning and Online Knowledge Accumulation Evaluating Large Language Models Trained on Code

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-07T15:43:38.714308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:43:38.714308Z digest=sha256:599b38bb617ddfc356fe13e82b603b2af5de51c0c2be464585b6dd33d78ba70b

Observation 6bdfe1e3-1c75-476f-ac35-8cbd9c1d404b · outbound

This paper cites Learning to Break: Knowledge-Enhanced Reasoning in Multi-Agent Debate System.

DSMentor: Enhancing Data Science Agents with Curriculum Learning and Online Knowledge Accumulation Learning to Break: Knowledge-Enhanced Reasoning in Multi-Agent Debate System

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T15:43:39.556316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:43:39.556316Z digest=sha256:67da09923f0af3bae925ae20a9ff3b60a694cc921d94cbb8d80e0e990c2f2ac3

Pith citing papers

Observation 1de648a2-b002-4f40-bf09-dcbc9bd865d9 · inbound

ProfiliTable: Profiling-Driven Tabular Data Processing via Agentic Workflows cites this paper.

ProfiliTable: Profiling-Driven Tabular Data Processing via Agentic Workflows DSMentor: Enhancing Data Science Agents with Curriculum Learning and Online Knowledge Accumulation

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-13T05:57:22.515165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-13T05:56:36.312877Z digest=sha256:1ed2b372099390e9c5e2aaa0ee5eaa2733b5c788ef22d068293c9c128c07fcf4

Observation 43b2f311-b3c8-4cdb-bf14-9c14cfbd7fc1 · inbound

ProfiliTable: Profiling-Driven Tabular Data Processing via Agentic Workflows cites this paper.

ProfiliTable: Profiling-Driven Tabular Data Processing via Agentic Workflows DSMentor: Enhancing Data Science Agents with Curriculum Learning and Online Knowledge Accumulation

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-07-01T14:05:46.730232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T22:18:45.189576Z digest=sha256:3b7e0478a200362f3fd4ea1dcba39aca94933653444d937bcb05aba0c6c531d7

Observation 41365577-6e04-46b3-98f1-2523ce125551 · inbound

Text Analytics Evaluation Framework: A Case Study on LLMs and Social Media cites this paper.

Text Analytics Evaluation Framework: A Case Study on LLMs and Social Media DSMentor: Enhancing Data Science Agents with Curriculum Learning and Online Knowledge Accumulation

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-21T04:53:57.751741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-21T04:52:44.897900Z digest=sha256:b1909826ec902e1912e67de683a5daad09d13487ae1cc004d3e5cd874fc162fb